diff --git a/Makefile.conf.in b/Makefile.conf.in
index 0d44b71a..c795d63c 100644
--- a/Makefile.conf.in
+++ b/Makefile.conf.in
@@ -1,5 +1,6 @@
 put /local/xschem/cflags [@
   @cc/cflags@
+  @?libs/sul/libjpeg/cflags@
   @?libs/gui/cairo/cflags@
   @?libs/gui/xrender/cflags@
   @?libs/gui/xcb/cflags@
@@ -13,6 +14,7 @@ put /local/xschem/cflags [@
 put /local/xschem/ldflags [@
   @cc/ldflags@
   -lm
+  @?libs/sul/libjpeg/ldflags@
   @?libs/gui/cairo/ldflags@
   @?libs/gui/xrender/ldflags@
   @?libs/gui/xcb/ldflags@
diff --git a/XSchemWin/XSchemWin.vcxproj b/XSchemWin/XSchemWin.vcxproj
index a1fde5c6..a601fc21 100644
--- a/XSchemWin/XSchemWin.vcxproj
+++ b/XSchemWin/XSchemWin.vcxproj
@@ -223,6 +223,7 @@
   </ItemDefinitionGroup>
   <ItemGroup>
     <ClCompile Include="..\src\actions.c" />
+    <ClCompile Include="..\src\cairo_jpg.c" />
     <ClCompile Include="..\src\callback.c" />
     <ClCompile Include="..\src\check.c" />
     <ClCompile Include="..\src\clip.c" />
@@ -257,6 +258,7 @@
     <ClCompile Include="parselabel.c" />
   </ItemGroup>
   <ItemGroup>
+    <ClInclude Include="..\src\cairo_jpg.h" />
     <ClInclude Include="..\src\xschem.h" />
     <ClInclude Include="config.h" />
     <ClInclude Include="expandlabel.h" />
diff --git a/XSchemWin/XSchemWin_cairo.vcxproj b/XSchemWin/XSchemWin_cairo.vcxproj
index f5563fad..9320989d 100644
--- a/XSchemWin/XSchemWin_cairo.vcxproj
+++ b/XSchemWin/XSchemWin_cairo.vcxproj
@@ -223,6 +223,7 @@
   </ItemDefinitionGroup>
   <ItemGroup>
     <ClCompile Include="..\src\actions.c" />
+    <ClCompile Include="..\src\cairo_jpg.c" />
     <ClCompile Include="..\src\callback.c" />
     <ClCompile Include="..\src\check.c" />
     <ClCompile Include="..\src\clip.c" />
@@ -257,6 +258,7 @@
     <ClCompile Include="parselabel.c" />
   </ItemGroup>
   <ItemGroup>
+    <ClInclude Include="..\src\cairo_jpg.h" />
     <ClInclude Include="..\src\xschem.h" />
     <ClInclude Include="config.h" />
     <ClInclude Include="expandlabel.h" />
diff --git a/config.h.in b/config.h.in
index 4ec6741a..6fbb635e 100644
--- a/config.h.in
+++ b/config.h.in
@@ -20,6 +20,9 @@ print [@/*************************************************************/
 /* Source: config.h.in; to regenerate run ./configure        */
 /*************************************************************/@]
 
+print {\n\n/* Define this var if libjpeg is available and is to be used */\n}
+print_ternary ?libs/sul/libjpeg/presents {#define HAS_LIBJPEG 1} {/*#undef HAS_LIBJPEG */}
+
 print {\n\n/* Define this var if cairo is available and is to be used */\n}
 print_ternary ?libs/gui/cairo/presents {#define HAS_CAIRO 1} {/*#undef HAS_CAIRO */}
 
diff --git a/scconfig/hooks.c b/scconfig/hooks.c
index e46729b6..26512b3d 100644
--- a/scconfig/hooks.c
+++ b/scconfig/hooks.c
@@ -9,38 +9,38 @@
 
 #define version "2.0.1"
 
-int find_sul_pcre(const char *name, int logdepth, int fatal)
+int find_sul_libjpeg(const char *name, int logdepth, int fatal)
 {
         const char *test_c =
                 NL "#include <stdio.h>"
                 NL "#include <stdlib.h>"
-                NL "#include <pcre.h>"
+                NL "#include <jpeglib.h>"
+                NL ""
                 NL "int main()"
                 NL "{"
-                NL "    const char *err;"
-                NL "    int erro, ret;"
-                NL "    pcre *p = pcre_compile(\"fo+b\", 0, &err, &erro, NULL);"
-                NL "    ret = pcre_exec(p, NULL, \"hi foobar\", 9, 0, 0, &erro, 1);"
-                NL "    if (ret == 0)"
-                NL "            puts(\"OK\");"
-                NL "    return 0;"
+                NL "     struct jpeg_compress_struct cinfo;"
+                NL "     struct jpeg_error_mgr jerr;"
+                NL "     jerr.error_exit = NULL;"
+                NL "     cinfo.err = jpeg_std_error(&jerr);"
+                NL "     jpeg_create_compress(&cinfo);"
+                NL "     jpeg_destroy_compress(&cinfo);"
+                NL "     if(jerr.error_exit)"
+                NL "         puts(\"OK\");"
+                NL "     return 0;"
                 NL "}"
                 NL;
 
-        const char *node = "libs/sul/pcre";
+        const char *node = "libs/sul/libjpeg";
 
         if (require("cc/cc", logdepth, fatal))
                 return 1;
 
-        report("Checking for pcre... ");
+        report("Checking for libjpeg... ");
 
-        if (try_icl_pkg_config(logdepth, "libs/sul/pcre", test_c, NULL, "libpcre", NULL))
+        if (try_icl_pkg_config(logdepth, node, test_c, NULL, "libjpeg", NULL))
                 return 0;
 
-        if (try_icl(logdepth, node, test_c, NULL, "-I/usr/include/pcre", "-lpcre"))
-                return 0;
-
-        if (try_icl(logdepth, node, test_c, NULL, "-I/usr/include/pcre", "-lpcre3"))
+        if (try_icl(logdepth, node, test_c, NULL, NULL, "-ljpeg"))
                 return 0;
 
         return try_fail(logdepth, node);
@@ -123,6 +123,9 @@ int hook_preinit()
 /* Runs after initialization */
 int hook_postinit()
 {
+        /* libjpeg detection */
+        dep_add("libs/sul/libjpeg/*",     find_sul_libjpeg);
+
 	db_mkdir("/local");
 	db_mkdir("/local/xschem");
 
@@ -289,6 +292,7 @@ int hook_detect_target()
 	require("fstools/awk",  0, 1);
 	require("libs/gui/xpm/*",  0, 1);
 	require("libs/gui/cairo/*",  0, 0);
+	require("libs/sul/libjpeg/*",  0, 0);
 
 	if (require("libs/gui/cairo-xcb/*",  0, 0) != 0) {
 		put("libs/gui/xcb/presents", sfalse);
@@ -357,6 +361,7 @@ int hook_generate()
 		printf(" tcl:       %s\n", get("/target/libs/script/tcl/ldflags"));
 		printf(" tk:        %s\n", get("/target/libs/script/tk/ldflags"));
 		printf(" cairo:     %s\n", istrue(get("/target/libs/gui/cairo/presents")) ? "yes" : "no");
+		printf(" libjpeg:   %s\n", istrue(get("/target/libs/sul/libjpeg/presents")) ? "yes" : "no");
 		printf(" xcb:       %s\n", istrue(get("/target/libs/gui/xcb/presents")) ? "yes" : "no");
 
 		printf("\nConfiguration complete, ready to compile.\n\n");
diff --git a/src/Makefile.in b/src/Makefile.in
index a3be5184..cea16e20 100644
--- a/src/Makefile.in
+++ b/src/Makefile.in
@@ -40,7 +40,7 @@ rawtovcd: rawtovcd.o
 	$(CC) -o  rawtovcd rawtovcd.o -lm
 
 xschem: $(OBJ)
-	$(CC) -o xschem $(OBJ) $(LDFLAGS) -ljpeg
+	$(CC) -o xschem $(OBJ) $(LDFLAGS)
 
 parselabel.c: parselabel.l expandlabel.h
 	flex -l -oparselabel.c  parselabel.l
diff --git a/src/actions.c b/src/actions.c
index 6ae8dde8..b1eb2f93 100644
--- a/src/actions.c
+++ b/src/actions.c
@@ -273,16 +273,16 @@ void new_xschem_process(const char *cell, int symbol)
     fprintf(errfp, "new_xschem_process(): executable not found\n");
     return;
   }
-
+  fflush(NULL); /* flush all stdio streams before process forking */
   /* double fork method to avoid zombies 20180925*/
-  if ( (pid1 = fork()) ) {
+  if ( (pid1 = fork()) > 0 ) {
     /* parent process */
     waitpid(pid1, &status, 0);
-  } else if (!pid1) {
+  } else if (pid1 == 0) {
     /* child process  */
-    if ( (pid2 = fork()) ) {
-      exit(0); /* --> child of child will be reparented to init */
-    } else if (!pid2) {
+    if ( (pid2 = fork()) > 0 ) {
+      _exit(0); /* --> child of child will be reparented to init */
+    } else if (pid2 == 0) {
       /* child of child */
       if(!cell || !cell[0]) {
         if(!symbol)
@@ -303,7 +303,7 @@ void new_xschem_process(const char *cell, int symbol)
     } else {
       /* error */
       fprintf(errfp, "new_xschem_process(): fork error 1\n");
-      tcleval("exit");
+      _exit(1);
     }
   } else {
     /* error */
diff --git a/src/cairo_jpg.c b/src/cairo_jpg.c
index f9ba96fe..485a122a 100644
--- a/src/cairo_jpg.c
+++ b/src/cairo_jpg.c
@@ -1,628 +1,635 @@
-/* Copyright 2018 Bernhard R. Fischer, 4096R/8E24F29D <bf@abenteuerland.at>
- *
- * This file is part of Cairo_JPG.
- *
- * Cairo_JPG is free software: you can redistribute it and/or modify
- * it under the terms of the GNU Lesser General Public License as published by
- * the Free Software Foundation, either version 3 of the License, or
- * (at your option) any later version.
- *
- * Cairo_JPG is distributed in the hope that it will be useful,
- * but WITHOUT ANY WARRANTY; without even the implied warranty of
- * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
- * GNU Lesser General Public License for more details.
- *
- * You should have received a copy of the GNU General Public License
- * along with Cairo_JPG.  If not, see <https://www.gnu.org/licenses/>.
- */
-
-/*! \file cairo_jpg.c
- * This file contains two functions for reading and writing JPEG files from
- * and to Cairo image surfaces. It uses the functions from the libjpeg.
- * Most of the code is directly derived from the online example at
- * http://libjpeg-turbo.virtualgl.org/Documentation/Documentation
- *
- * All prototypes are defined in cairo_jpg.h All functions and their parameters
- * and return values are described below directly at the functions. You may
- * also have a look at the preprocessor macros defined below.
- *
- * To compile this code you need to have installed the packages libcairo2-dev
- * and libjpeg-dev. Compile with the following to create an object file to link
- * with your code:
- * gcc -std=c99 -Wall -c `pkg-config cairo libjpeg --cflags --libs` cairo_jpg.c
- * Use the following command to include the main() function and create an
- * executable for testing of this code:
- * gcc -std=c99 -Wall -o cairo_jpg -DCAIRO_JPEG_MAIN `pkg-config cairo libjpeg --cflags --libs` cairo_jpg.c
- *
- * @author Bernhard R. Fischer, 4096R/8E24F29D bf@abenteuerland.at
- * @version 2020/01/18
- * @license LGPL3.
- */
-
-#ifdef HAVE_CONFIG_H
-#include "config.h"
-#endif
-#include <stdio.h>
-#include <stdlib.h>
-#include <stdint.h>
-#include <sys/types.h>
-#include <sys/stat.h>
-#include <fcntl.h>
-#include "unistd.h"
-#include <cairo.h>
-#include <jpeglib.h>
-
-#include "cairo_jpg.h"
-
-/*! Macro to activate main() function. This is only used for testing. Comment
- * it out (#undef) if you link this file to your own program.
- */
-
-/* #define CAIRO_JPEG_MAIN */
-
-/*! Define this to use an alternate implementation of
- * cairo_image_surface_create_from_jpeg() which fstat(3)s the file before
- * reading (see below). For huge files this /may/ be slightly faster.
- */
-#undef CAIRO_JPEG_USE_FSTAT
-
-/*! This is the read block size for the stream reader
- * cairo_image_surface_create_from_jpeg_stream().
- */
-#ifdef USE_CAIRO_READ_FUNC_LEN_T
-#define CAIRO_JPEG_IO_BLOCK_SIZE 4096
-#else
-/*! Block size has to be one if cairo_read_func_t is in use because of the lack
- * to detect EOF (truncated reads).
- */
-#define CAIRO_JPEG_IO_BLOCK_SIZE 1
-/*! In case of original cairo_read_func_t is used fstat() should be used for
- * performance reasons (see CAIRO_JPEG_USE_FSTAT above).
- */
-#define CAIRO_JPEG_USE_FSTAT
-#endif
-
-/*! Define this to test jpeg creation with non-image surfaces. This is only for
- * testing and is to be used together with CAIRO_JPEG_MAIN.  
- */
-#undef CAIRO_JPEG_TEST_SIMILAR
-#if defined(CAIRO_JPEG_TEST_SIMILAR) && defined(CAIRO_JPEG_MAIN)
-#include <cairo-pdf.h>
-#endif
-
-
-#ifndef LIBJPEG_TURBO_VERSION
-/*! This function makes a covnersion for "odd" pixel sizes which typically is a
- * conversion from a 3-byte to a 4-byte (or more) pixel size or vice versa.
- * The conversion is done from the source buffer src to the destination buffer
- * dst. The caller MUST ensure that src and dst have the correct memory size.
- * This is dw * num for dst and sw * num for src. src and dst may point to the
- * same memory address.
- * @param dst Pointer to destination buffer.
- * @param dw Pixel width (in bytes) of pixels in destination buffer, dw >= 3.
- * @param src Pointer to source buffer.
- * @param sw Pixel width (in bytes) of pixels in source buffer, sw >= 3.
- * @param num Number of pixels to convert, num >= 1;
- */
-static void pix_conv(unsigned char *dst, int dw, const unsigned char *src, int sw, int num)
-{
-   int si, di;
-
-   /*  safety check */
-   if (dw < 3 || sw < 3 || dst == NULL || src == NULL)
-      return;
-
-   num--;
-   for (si = num * sw, di = num * dw; si >= 0; si -= sw, di -= dw)
-   {
-#if __BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__
-      dst[di + 2] = src[si    ];
-      dst[di + 1] = src[si + 1];
-      dst[di + 0] = src[si + 2];
-#else
-      /*  FIXME: This is untested, it may be wrong. */
-      dst[di - 3] = src[si - 3];
-      dst[di - 2] = src[si - 2];
-      dst[di - 1] = src[si - 1];
-#endif
-   }
-}
-#endif
-
-
-/*! This function creates a JPEG file in memory from a Cairo image surface.
- * @param sfc Pointer to a Cairo surface. It should be an image surface of
- * either CAIRO_FORMAT_ARGB32 or CAIRO_FORMAT_RGB24. Other formats are
- * converted to CAIRO_FORMAT_RGB24 before compression.
- * Please note that this may give unexpected results because JPEG does not
- * support transparency. Thus, default background color is used to replace
- * transparent regions. The default background color is black if not specified
- * explicitly. Thus converting e.g. PDF surfaces without having any specific
- * background color set will apear with black background and not white as you
- * might expect. In such cases it is suggested to manually convert the surface
- * to RGB24 before calling this function.
- * @param data Pointer to a memory pointer. This parameter receives a pointer
- * to the memory area where the final JPEG data is found in memory. This
- * function reserves the memory properly and it has to be freed by the caller
- * with free(3).
- * @param len Pointer to a variable of type size_t which will receive the final
- * lenght of the memory buffer.
- * @param quality Compression quality, 0-100.
- * @return On success the function returns CAIRO_STATUS_SUCCESS. In case of
- * error CAIRO_STATUS_INVALID_FORMAT is returned.
- */
-cairo_status_t cairo_image_surface_write_to_jpeg_mem(cairo_surface_t *sfc, unsigned char **data, size_t *len, int quality)
-{
-   struct jpeg_compress_struct cinfo;
-   struct jpeg_error_mgr jerr;
-   JSAMPROW row_pointer[1];
-   cairo_surface_t *other = NULL;
-   cairo_t *ctx;
-
-   /* check valid input format (must be IMAGE_SURFACE && (ARGB32 || RGB24)) */
-   if (cairo_surface_get_type(sfc) != CAIRO_SURFACE_TYPE_IMAGE ||
-         (cairo_image_surface_get_format(sfc) != CAIRO_FORMAT_ARGB32 &&
-         cairo_image_surface_get_format(sfc) != CAIRO_FORMAT_RGB24))
-   {
-      /*  create a similar surface with a proper format if supplied input format */
-      /*  does not fulfill the requirements */
-      double x1, y1, x2, y2;
-      other = sfc;
-      ctx = cairo_create(other);
-      /*  get extents of original surface */
-      cairo_clip_extents(ctx, &x1, &y1, &x2, &y2);
-      cairo_destroy(ctx);
-
-      /*  create new image surface */
-      sfc = cairo_surface_create_similar_image(other, CAIRO_FORMAT_RGB24, (int)(x2 - x1), (int)(y2 - y1));
-      if (cairo_surface_status(sfc) != CAIRO_STATUS_SUCCESS)
-         return CAIRO_STATUS_INVALID_FORMAT;
-
-      /*  paint original surface to new surface */
-      ctx = cairo_create(sfc);
-      cairo_set_source_surface(ctx, other, 0, 0);
-      cairo_paint(ctx);
-      cairo_destroy(ctx);
-   }
-
-   /*  finish queued drawing operations */
-   cairo_surface_flush(sfc);
-
-   /*  init jpeg compression structures */
-   cinfo.err = jpeg_std_error(&jerr);
-   jpeg_create_compress(&cinfo);
-
-   /*  set compression parameters */
-   jpeg_mem_dest(&cinfo, data, len);
-   cinfo.image_width = cairo_image_surface_get_width(sfc);
-   cinfo.image_height = cairo_image_surface_get_height(sfc);
-#ifdef LIBJPEG_TURBO_VERSION
-#if __BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__
-   /* cinfo.in_color_space = JCS_EXT_BGRX; */
-   cinfo.in_color_space = cairo_image_surface_get_format(sfc) == CAIRO_FORMAT_ARGB32 ? JCS_EXT_BGRA : JCS_EXT_BGRX;
-#else
-   /* cinfo.in_color_space = JCS_EXT_XRGB; */
-   cinfo.in_color_space = cairo_image_surface_get_format(sfc) == CAIRO_FORMAT_ARGB32 ? JCS_EXT_ARGB : JCS_EXT_XRGB;
-#endif
-   cinfo.input_components = 4;
-#else
-   cinfo.in_color_space = JCS_RGB;
-   cinfo.input_components = 3;
-#endif
-   jpeg_set_defaults(&cinfo);
-   jpeg_set_quality(&cinfo, quality, TRUE);
-
-   /*  start compressor */
-   jpeg_start_compress(&cinfo, TRUE);
-
-   /*  loop over all lines and compress */
-   while (cinfo.next_scanline < cinfo.image_height)
-   {
-#ifdef LIBJPEG_TURBO_VERSION
-      row_pointer[0] = cairo_image_surface_get_data(sfc) + (cinfo.next_scanline
-            * cairo_image_surface_get_stride(sfc));
-#else
-      unsigned char* row_buf = malloc(3 * cinfo.image_width);
-      /* unsigned char row_buf[3 * cinfo.image_width]; */
-      pix_conv(row_buf, 3, cairo_image_surface_get_data(sfc) +
-            (cinfo.next_scanline * cairo_image_surface_get_stride(sfc)), 4, cinfo.image_width);
-      row_pointer[0] = row_buf;
-#endif
-      (void) jpeg_write_scanlines(&cinfo, row_pointer, 1);
-   }
-
-   /*  finalize and close everything */
-   jpeg_finish_compress(&cinfo);
-   jpeg_destroy_compress(&cinfo);
-
-   /*  destroy temporary image surface (if available) */
-   if (other != NULL)
-      cairo_surface_destroy(sfc);
-
-   return CAIRO_STATUS_SUCCESS;
-}
-
-
-/*! This is the internal write function which is called by
- * cairo_image_surface_write_to_jpeg(). It is not exported.
- */
-static cairo_status_t cj_write(void *closure, const unsigned char *data, unsigned int length)
-{
-   return write((int)(intptr_t) closure, data, length) < length ?
-      CAIRO_STATUS_WRITE_ERROR : CAIRO_STATUS_SUCCESS;
-}
-
-
-/*! This function writes JPEG file data from a Cairo image surface by using the
- * user-supplied stream writer function write_func().
- * @param sfc Pointer to a Cairo *image* surface. Its format must either be
- * CAIRO_FORMAT_ARGB32 or CAIRO_FORMAT_RGB24. Other formats are not supported
- * by this function, yet.
- * @param write_func Function pointer to a function which is actually writing
- * the data.
- * @param closure Pointer to user-supplied variable which is directly passed to
- * write_func().
- * @param quality Compression quality, 0-100.
- * @return This function calles cairo_image_surface_write_to_jpeg_mem() and
- * returns its return value.
- */
-cairo_status_t cairo_image_surface_write_to_jpeg_stream(cairo_surface_t *sfc, cairo_write_func_t write_func, void *closure, int quality)
-{
-   cairo_status_t e;
-   unsigned char *data = NULL;
-   size_t len = 0;
-
-   /*  create JPEG data in memory from surface */
-   if ((e = cairo_image_surface_write_to_jpeg_mem(sfc, &data, &len, quality)) != CAIRO_STATUS_SUCCESS)
-      return e;
-
-   /*  write whole memory block with stream function */
-   e = write_func(closure, data, (unsigned int)len);
-
-   /*  free JPEG memory again and return the return value */
-   free(data);
-   return e;
-
-}
-
-
-/*! This function creates a JPEG file from a Cairo image surface.
- * @param sfc Pointer to a Cairo *image* surface. Its format must either be
- * CAIRO_FORMAT_ARGB32 or CAIRO_FORMAT_RGB24. Other formats are not supported
- * by this function, yet.
- * @param filename Pointer to the filename.
- * @param quality Compression quality, 0-100.
- * @return In case of success CAIRO_STATUS_SUCCESS is returned. If an error
- * occured while opening/creating the file CAIRO_STATUS_DEVICE_ERROR is
- * returned. The error can be tracked down by inspecting errno(3). The function
- * internally calles cairo_image_surface_write_to_jpeg_stream() and returnes
- * its return value respectively (see there).
- */
-cairo_status_t cairo_image_surface_write_to_jpeg(cairo_surface_t *sfc, const char *filename, int quality)
-{
-   cairo_status_t e;
-   int outfile;
-
-   /*  Open/create new file */
-   if ((outfile = open(filename, O_WRONLY | O_CREAT, S_IRUSR | S_IWUSR | S_IRGRP | S_IROTH)) == -1)
-      return CAIRO_STATUS_DEVICE_ERROR;
-
-   /*  write surface to file */
-   e = cairo_image_surface_write_to_jpeg_stream(sfc, cj_write, (void*)(intptr_t) outfile, quality);
-
-   /*  close file again and return */
-   close(outfile);
-   return e;
-}
-
-
-
-/*! This function decompresses a JPEG image from a memory buffer and creates a
- * Cairo image surface.
- * @param data Pointer to JPEG data (i.e. the full contents of a JPEG file read
- * into this buffer).
- * @param len Length of buffer in bytes.
- * @return Returns a pointer to a cairo_surface_t structure. It should be
- * checked with cairo_surface_status() for errors.
- */
-cairo_surface_t *cairo_image_surface_create_from_jpeg_mem(void *data, size_t len)
-{
-   struct jpeg_decompress_struct cinfo;
-   struct jpeg_error_mgr jerr;
-   JSAMPROW row_pointer[1];
-   cairo_surface_t *sfc;
- 
-   /*  initialize jpeg decompression structures */
-   cinfo.err = jpeg_std_error(&jerr);
-   jpeg_create_decompress(&cinfo);
-   jpeg_mem_src(&cinfo, data, len);
-   (void) jpeg_read_header(&cinfo, TRUE);
-
-#ifdef LIBJPEG_TURBO_VERSION
-#if __BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__
-   cinfo.out_color_space = JCS_EXT_BGRA;
-#else
-   cinfo.out_color_space = JCS_EXT_ARGB;
-#endif
-#else
-   cinfo.out_color_space = JCS_RGB;
-#endif
-
-   /*  start decompressor */
-   (void) jpeg_start_decompress(&cinfo);
-
-   /*  create Cairo image surface */
-   sfc = cairo_image_surface_create(CAIRO_FORMAT_RGB24, cinfo.output_width, cinfo.output_height);
-   if (cairo_surface_status(sfc) != CAIRO_STATUS_SUCCESS)
-   {
-      jpeg_destroy_decompress(&cinfo);
-      return sfc;
-   }
-
-   /*  loop over all scanlines and fill Cairo image surface */
-   while (cinfo.output_scanline < cinfo.output_height)
-   {
-      unsigned char *row_address = cairo_image_surface_get_data(sfc) +
-         (cinfo.output_scanline * cairo_image_surface_get_stride(sfc));
-      row_pointer[0] = row_address;
-      (void) jpeg_read_scanlines(&cinfo, row_pointer, 1);
-#ifndef LIBJPEG_TURBO_VERSION
-      pix_conv(row_address, 4, row_address, 3, cinfo.output_width);
-#endif
-   }
-
-   /*  finish and close everything */
-   cairo_surface_mark_dirty(sfc);
-   (void) jpeg_finish_decompress(&cinfo);
-   jpeg_destroy_decompress(&cinfo);
-
-   /*  set jpeg mime data */
-   cairo_surface_set_mime_data(sfc, CAIRO_MIME_TYPE_JPEG, data, len, free, data);
-
-   return sfc;
-}
-
-
-/*! This function reads a JPEG image from a stream and creates a Cairo image
- * surface.
- * @param read_func Pointer to function which reads data.
- * @param closure Pointer which is passed to read_func().
- * @return Returns a pointer to a cairo_surface_t structure. It should be
- * checked with cairo_surface_status() for errors.
- * @note If the surface returned is invalid you can use errno(3) to determine
- * further reasons. Errno is set according to realloc(3). If you
- * intend to check errno you shall set it to 0 before calling this function
- * because it modifies errno only in case of an error.
- */
-#ifdef USE_CAIRO_READ_FUNC_LEN_T
-cairo_surface_t *cairo_image_surface_create_from_jpeg_stream(cairo_read_func_len_t read_func, void *closure)
-#else
-cairo_surface_t *cairo_image_surface_create_from_jpeg_stream(cairo_read_func_t read_func, void *closure)
-#endif
-{
-   cairo_surface_t *sfc;
-   unsigned char *data, *tmp;
-   ssize_t len, rlen;
-   int eof = 0;
-
-   /*  read all data into memory buffer in blocks of CAIRO_JPEG_IO_BLOCK_SIZE  */
-   for (len = 0, data = NULL; !eof; len += rlen)
-   {
-      /*  grow memory buffer and check for error */
-      if ((tmp = realloc(data, len + CAIRO_JPEG_IO_BLOCK_SIZE)) == NULL)
-         break;
-      data = tmp;
-
-      /*  read bytes into buffer and check for error */
-      rlen = read_func(closure, data + len, CAIRO_JPEG_IO_BLOCK_SIZE);
-#ifdef USE_CAIRO_READ_FUNC_LEN_T
-      /*  check for error */
-      if (rlen == -1)
-         break;
-
-      /*  check if EOF occured */
-      if (rlen < CAIRO_JPEG_IO_BLOCK_SIZE)
-         eof++;
-#else
-      /*  check for error */
-      if (rlen == CAIRO_STATUS_READ_ERROR)
-         eof++;
-#endif
-   }
-
-   /*  check for error in read loop */
-   if (!eof)
-   {
-      free(data);
-      return cairo_image_surface_create(CAIRO_FORMAT_INVALID, 0, 0);
-   }
-
-   /*  call jpeg decompression and return surface */
-   sfc = cairo_image_surface_create_from_jpeg_mem(data, len);
-   if (cairo_surface_status(sfc) != CAIRO_STATUS_SUCCESS)
-      free(data);
-
-   return sfc;
-}
-
-
-#ifdef CAIRO_JPEG_USE_FSTAT
-/*! This function reads an JPEG image from a file an creates a Cairo image
- * surface. Internally the filesize is determined with fstat(2) and then the
- * whole data is read at once.
- * @param filename Pointer to filename of JPEG file.
- * @return Returns a pointer to a cairo_surface_t structure. It should be
- * checked with cairo_surface_status() for errors.
- * @note If the returned surface is invalid you can use errno to determine
- * further reasons. Errno is set according to fopen(3) and malloc(3). If you
- * intend to check errno you shall set it to 0 before calling this function
- * because it does not modify errno itself.
- */
-cairo_surface_t *cairo_image_surface_create_from_jpeg(const char *filename)
-{
-   void *data;
-   int infile;
-   struct stat stat;
-   int s;
-
-   /*  open input file */
-   if ((infile = open(filename, O_RDONLY)) == -1)
-      return cairo_image_surface_create(CAIRO_FORMAT_INVALID, 0, 0);
-
-   /*  get stat structure for file size */
-   if (fstat(infile, &stat) == -1)
-      return cairo_image_surface_create(CAIRO_FORMAT_INVALID, 0, 0);
-
-   /*  allocate memory */
-   if ((data = malloc(stat.st_size)) == NULL)
-      return cairo_image_surface_create(CAIRO_FORMAT_INVALID, 0, 0);
-
-   /*  read data */
-   s = (int)read(infile, data, stat.st_size);
-   if ( s < stat.st_size)
-      return cairo_image_surface_create(CAIRO_FORMAT_INVALID, 0, 0);
-
-   close(infile);
-
-   return cairo_image_surface_create_from_jpeg_mem(data, stat.st_size);
-}
-
-#else
-
-
-/*! This is the read function which is called by
- * cairo_image_surface_create_from_jpeg_stream() (non-fstat-version below). It
- * is not exported.
- */
-#ifdef USE_CAIRO_READ_FUNC_LEN_T
-static ssize_t cj_read(void *closure, unsigned char *data, unsigned int length)
-{
-   return read((intptr_t) closure, data, length);
-}
-#else
-static cairo_status_t cj_read(void *closure, unsigned char *data, unsigned int length)
-{
-   return read((intptr_t) closure, data, length) < length ? CAIRO_STATUS_READ_ERROR : CAIRO_STATUS_SUCCESS;
-}
-#endif
-
-
-/*! This function reads an JPEG image from a file an creates a Cairo image
- * surface. Internally the function calls
- * cairo_image_surface_create_from_jpeg_stream() to actually read the data.
- * @param filename Pointer to filename of JPEG file.
- * @return Returns a pointer to a cairo_surface_t structure. It should be
- * checked with cairo_surface_status() for errors.
- * @note If the returned surface is invalid you can use errno to determine
- * further reasons. Errno is set according to fopen(3) and malloc(3). If you
- * intend to check errno you shall set it to 0 before calling this function
- * because it does not modify errno itself.
- */
-cairo_surface_t *cairo_image_surface_create_from_jpeg(const char *filename)
-{
-   cairo_surface_t *sfc;
-   int infile;
-
-   /*  open input file */
-   if ((infile = open(filename, O_RDONLY)) == -1)
-      return cairo_image_surface_create(CAIRO_FORMAT_INVALID, 0, 0);
-
-   /*  call stream loading function */
-   sfc = cairo_image_surface_create_from_jpeg_stream(cj_read, (void*)(intptr_t) infile);
-   close(infile);
-
-   return sfc;
-}
-
-#endif
-
-
-#ifdef CAIRO_JPEG_MAIN
-#include <string.h>
-#include <strings.h>
-
-int strrcasecmp(const char *s1, const char *s2)
-{
-   int off = (int) strlen(s1) - (int) strlen(s2); /* typecast size_t to int because size_t typically is unsigned */
-   return strcasecmp(s1 + (off < 0 ? 0 : off), s2);
-}
-
-/*! Main routine, only for testing. #undef CAIRO_JPEG_MAIN or simply delete
- * this part if you link this file to your own program.
- */
-int main(int argc, char **argv)
-{
-   cairo_surface_t *sfc;
-
-#ifndef CAIRO_JPEG_TEST_SIMILAR
-   if (argc < 3)
-   {
-      fprintf(stderr, "usage: %s <infile> <outfile>\n", argv[0]);
-      return 1;
-   }
-
-   /*  test input file type and read file */
-   if (!strrcasecmp(argv[1], ".png"))
-   {
-      /*  read PNG file */
-      sfc = cairo_image_surface_create_from_png(argv[1]);
-   }
-   else if (!strrcasecmp(argv[1], ".jpg"))
-   {
-      /*  read JPEG file */
-      sfc = cairo_image_surface_create_from_jpeg(argv[1]);
-   }
-   else
-   {
-      fprintf(stderr, "source file is neither JPG nor PNG\n");
-      return 1;
-   }
-
-   /*  check surface status */
-   if (cairo_surface_status(sfc) != CAIRO_STATUS_SUCCESS)
-   {
-      fprintf(stderr, "error loading image: %s", cairo_status_to_string(cairo_surface_status(sfc)));
-      return 2;
-   }
-
-   /*  test output file type and write file */
-   if (!strrcasecmp(argv[2], ".png"))
-   {
-       /*  write PNG file */
-      cairo_surface_write_to_png(sfc, argv[2]);
-   }
-   else if (!strrcasecmp(argv[2], ".jpg"))
-   {
-      /*  write JPEG file */
-      cairo_image_surface_write_to_jpeg(sfc, argv[2], 90);
-   }
-   else
-   {
-      fprintf(stderr, "destination file is neither JPG nor PNG\n");
-      return 1;
-   }
-
-   cairo_surface_destroy(sfc);
-
-#else
-   sfc = cairo_pdf_surface_create("xyz.pdf", 595.276, 841.890);
-
-   cairo_t *ctx = cairo_create(sfc);
-   cairo_set_source_rgb(ctx, 1, 1, 1);
-   cairo_paint(ctx);
-   cairo_move_to(ctx, 100, 100);
-   cairo_set_source_rgb(ctx, 1, 0, 0);
-   cairo_set_line_width(ctx, 3);
-   cairo_line_to(ctx, 400, 400);
-   cairo_stroke(ctx);
-   cairo_destroy(ctx);
-
-   cairo_image_surface_write_to_jpeg(sfc, "xyz.jpg", 90);
-   cairo_surface_destroy(sfc);
-#endif
-
-   return 0;
-}
-
-#endif
-
+/* Copyright 2018 Bernhard R. Fischer, 4096R/8E24F29D <bf@abenteuerland.at>
+ *
+ * This file is part of Cairo_JPG.
+ *
+ * Cairo_JPG is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU Lesser General Public License as published by
+ * the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * Cairo_JPG is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU Lesser General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with Cairo_JPG.  If not, see <https://www.gnu.org/licenses/>.
+ */
+
+/*! \file cairo_jpg.c
+ * This file contains two functions for reading and writing JPEG files from
+ * and to Cairo image surfaces. It uses the functions from the libjpeg.
+ * Most of the code is directly derived from the online example at
+ * http://libjpeg-turbo.virtualgl.org/Documentation/Documentation
+ *
+ * All prototypes are defined in cairo_jpg.h All functions and their parameters
+ * and return values are described below directly at the functions. You may
+ * also have a look at the preprocessor macros defined below.
+ *
+ * To compile this code you need to have installed the packages libcairo2-dev
+ * and libjpeg-dev. Compile with the following to create an object file to link
+ * with your code:
+ * gcc -std=c99 -Wall -c `pkg-config cairo libjpeg --cflags --libs` cairo_jpg.c
+ * Use the following command to include the main() function and create an
+ * executable for testing of this code:
+ * gcc -std=c99 -Wall -o cairo_jpg -DCAIRO_JPEG_MAIN `pkg-config cairo libjpeg --cflags --libs` cairo_jpg.c
+ *
+ * @author Bernhard R. Fischer, 4096R/8E24F29D bf@abenteuerland.at
+ * @version 2020/01/18
+ * @license LGPL3.
+ */
+
+#ifdef __unix__
+#include "../config.h"
+#else
+#include "../XSchemWin/config.h"
+#endif
+#if defined(HAS_LIBJPEG) && defined(HAS_CAIRO)
+#ifdef HAVE_CONFIG_H
+#include "config.h"
+#endif
+#include <stdio.h>
+#include <stdlib.h>
+#include <stdint.h>
+#include <sys/types.h>
+#include <sys/stat.h>
+#include <fcntl.h>
+#include "unistd.h"
+#include <cairo.h>
+#include <jpeglib.h>
+
+#include "cairo_jpg.h"
+
+/*! Macro to activate main() function. This is only used for testing. Comment
+ * it out (#undef) if you link this file to your own program.
+ */
+
+/* #define CAIRO_JPEG_MAIN */
+
+/*! Define this to use an alternate implementation of
+ * cairo_image_surface_create_from_jpeg() which fstat(3)s the file before
+ * reading (see below). For huge files this /may/ be slightly faster.
+ */
+#undef CAIRO_JPEG_USE_FSTAT
+
+/*! This is the read block size for the stream reader
+ * cairo_image_surface_create_from_jpeg_stream().
+ */
+#ifdef USE_CAIRO_READ_FUNC_LEN_T
+#define CAIRO_JPEG_IO_BLOCK_SIZE 4096
+#else
+/*! Block size has to be one if cairo_read_func_t is in use because of the lack
+ * to detect EOF (truncated reads).
+ */
+#define CAIRO_JPEG_IO_BLOCK_SIZE 1
+/*! In case of original cairo_read_func_t is used fstat() should be used for
+ * performance reasons (see CAIRO_JPEG_USE_FSTAT above).
+ */
+#define CAIRO_JPEG_USE_FSTAT
+#endif
+
+/*! Define this to test jpeg creation with non-image surfaces. This is only for
+ * testing and is to be used together with CAIRO_JPEG_MAIN.  
+ */
+#undef CAIRO_JPEG_TEST_SIMILAR
+#if defined(CAIRO_JPEG_TEST_SIMILAR) && defined(CAIRO_JPEG_MAIN)
+#include <cairo-pdf.h>
+#endif
+
+
+#ifndef LIBJPEG_TURBO_VERSION
+/*! This function makes a covnersion for "odd" pixel sizes which typically is a
+ * conversion from a 3-byte to a 4-byte (or more) pixel size or vice versa.
+ * The conversion is done from the source buffer src to the destination buffer
+ * dst. The caller MUST ensure that src and dst have the correct memory size.
+ * This is dw * num for dst and sw * num for src. src and dst may point to the
+ * same memory address.
+ * @param dst Pointer to destination buffer.
+ * @param dw Pixel width (in bytes) of pixels in destination buffer, dw >= 3.
+ * @param src Pointer to source buffer.
+ * @param sw Pixel width (in bytes) of pixels in source buffer, sw >= 3.
+ * @param num Number of pixels to convert, num >= 1;
+ */
+static void pix_conv(unsigned char *dst, int dw, const unsigned char *src, int sw, int num)
+{
+   int si, di;
+
+   /*  safety check */
+   if (dw < 3 || sw < 3 || dst == NULL || src == NULL)
+      return;
+
+   num--;
+   for (si = num * sw, di = num * dw; si >= 0; si -= sw, di -= dw)
+   {
+#if __BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__
+      dst[di + 2] = src[si    ];
+      dst[di + 1] = src[si + 1];
+      dst[di + 0] = src[si + 2];
+#else
+      /*  FIXME: This is untested, it may be wrong. */
+      dst[di - 3] = src[si - 3];
+      dst[di - 2] = src[si - 2];
+      dst[di - 1] = src[si - 1];
+#endif
+   }
+}
+#endif
+
+
+/*! This function creates a JPEG file in memory from a Cairo image surface.
+ * @param sfc Pointer to a Cairo surface. It should be an image surface of
+ * either CAIRO_FORMAT_ARGB32 or CAIRO_FORMAT_RGB24. Other formats are
+ * converted to CAIRO_FORMAT_RGB24 before compression.
+ * Please note that this may give unexpected results because JPEG does not
+ * support transparency. Thus, default background color is used to replace
+ * transparent regions. The default background color is black if not specified
+ * explicitly. Thus converting e.g. PDF surfaces without having any specific
+ * background color set will apear with black background and not white as you
+ * might expect. In such cases it is suggested to manually convert the surface
+ * to RGB24 before calling this function.
+ * @param data Pointer to a memory pointer. This parameter receives a pointer
+ * to the memory area where the final JPEG data is found in memory. This
+ * function reserves the memory properly and it has to be freed by the caller
+ * with free(3).
+ * @param len Pointer to a variable of type size_t which will receive the final
+ * lenght of the memory buffer.
+ * @param quality Compression quality, 0-100.
+ * @return On success the function returns CAIRO_STATUS_SUCCESS. In case of
+ * error CAIRO_STATUS_INVALID_FORMAT is returned.
+ */
+cairo_status_t cairo_image_surface_write_to_jpeg_mem(cairo_surface_t *sfc, unsigned char **data, size_t *len, int quality)
+{
+   struct jpeg_compress_struct cinfo;
+   struct jpeg_error_mgr jerr;
+   JSAMPROW row_pointer[1];
+   cairo_surface_t *other = NULL;
+   cairo_t *ctx;
+
+   /* check valid input format (must be IMAGE_SURFACE && (ARGB32 || RGB24)) */
+   if (cairo_surface_get_type(sfc) != CAIRO_SURFACE_TYPE_IMAGE ||
+         (cairo_image_surface_get_format(sfc) != CAIRO_FORMAT_ARGB32 &&
+         cairo_image_surface_get_format(sfc) != CAIRO_FORMAT_RGB24))
+   {
+      /*  create a similar surface with a proper format if supplied input format */
+      /*  does not fulfill the requirements */
+      double x1, y1, x2, y2;
+      other = sfc;
+      ctx = cairo_create(other);
+      /*  get extents of original surface */
+      cairo_clip_extents(ctx, &x1, &y1, &x2, &y2);
+      cairo_destroy(ctx);
+
+      /*  create new image surface */
+      sfc = cairo_surface_create_similar_image(other, CAIRO_FORMAT_RGB24, (int)(x2 - x1), (int)(y2 - y1));
+      if (cairo_surface_status(sfc) != CAIRO_STATUS_SUCCESS)
+         return CAIRO_STATUS_INVALID_FORMAT;
+
+      /*  paint original surface to new surface */
+      ctx = cairo_create(sfc);
+      cairo_set_source_surface(ctx, other, 0, 0);
+      cairo_paint(ctx);
+      cairo_destroy(ctx);
+   }
+
+   /*  finish queued drawing operations */
+   cairo_surface_flush(sfc);
+
+   /*  init jpeg compression structures */
+   cinfo.err = jpeg_std_error(&jerr);
+   jpeg_create_compress(&cinfo);
+
+   /*  set compression parameters */
+   jpeg_mem_dest(&cinfo, data, len);
+   cinfo.image_width = cairo_image_surface_get_width(sfc);
+   cinfo.image_height = cairo_image_surface_get_height(sfc);
+#ifdef LIBJPEG_TURBO_VERSION
+#if __BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__
+   /* cinfo.in_color_space = JCS_EXT_BGRX; */
+   cinfo.in_color_space = cairo_image_surface_get_format(sfc) == CAIRO_FORMAT_ARGB32 ? JCS_EXT_BGRA : JCS_EXT_BGRX;
+#else
+   /* cinfo.in_color_space = JCS_EXT_XRGB; */
+   cinfo.in_color_space = cairo_image_surface_get_format(sfc) == CAIRO_FORMAT_ARGB32 ? JCS_EXT_ARGB : JCS_EXT_XRGB;
+#endif
+   cinfo.input_components = 4;
+#else
+   cinfo.in_color_space = JCS_RGB;
+   cinfo.input_components = 3;
+#endif
+   jpeg_set_defaults(&cinfo);
+   jpeg_set_quality(&cinfo, quality, TRUE);
+
+   /*  start compressor */
+   jpeg_start_compress(&cinfo, TRUE);
+
+   /*  loop over all lines and compress */
+   while (cinfo.next_scanline < cinfo.image_height)
+   {
+#ifdef LIBJPEG_TURBO_VERSION
+      row_pointer[0] = cairo_image_surface_get_data(sfc) + (cinfo.next_scanline
+            * cairo_image_surface_get_stride(sfc));
+#else
+      unsigned char* row_buf = malloc(3 * cinfo.image_width);
+      /* unsigned char row_buf[3 * cinfo.image_width]; */
+      pix_conv(row_buf, 3, cairo_image_surface_get_data(sfc) +
+            (cinfo.next_scanline * cairo_image_surface_get_stride(sfc)), 4, cinfo.image_width);
+      row_pointer[0] = row_buf;
+#endif
+      (void) jpeg_write_scanlines(&cinfo, row_pointer, 1);
+   }
+
+   /*  finalize and close everything */
+   jpeg_finish_compress(&cinfo);
+   jpeg_destroy_compress(&cinfo);
+
+   /*  destroy temporary image surface (if available) */
+   if (other != NULL)
+      cairo_surface_destroy(sfc);
+
+   return CAIRO_STATUS_SUCCESS;
+}
+
+
+/*! This is the internal write function which is called by
+ * cairo_image_surface_write_to_jpeg(). It is not exported.
+ */
+static cairo_status_t cj_write(void *closure, const unsigned char *data, unsigned int length)
+{
+   return write((int)(intptr_t) closure, data, length) < length ?
+      CAIRO_STATUS_WRITE_ERROR : CAIRO_STATUS_SUCCESS;
+}
+
+
+/*! This function writes JPEG file data from a Cairo image surface by using the
+ * user-supplied stream writer function write_func().
+ * @param sfc Pointer to a Cairo *image* surface. Its format must either be
+ * CAIRO_FORMAT_ARGB32 or CAIRO_FORMAT_RGB24. Other formats are not supported
+ * by this function, yet.
+ * @param write_func Function pointer to a function which is actually writing
+ * the data.
+ * @param closure Pointer to user-supplied variable which is directly passed to
+ * write_func().
+ * @param quality Compression quality, 0-100.
+ * @return This function calles cairo_image_surface_write_to_jpeg_mem() and
+ * returns its return value.
+ */
+cairo_status_t cairo_image_surface_write_to_jpeg_stream(cairo_surface_t *sfc, cairo_write_func_t write_func, void *closure, int quality)
+{
+   cairo_status_t e;
+   unsigned char *data = NULL;
+   size_t len = 0;
+
+   /*  create JPEG data in memory from surface */
+   if ((e = cairo_image_surface_write_to_jpeg_mem(sfc, &data, &len, quality)) != CAIRO_STATUS_SUCCESS)
+      return e;
+
+   /*  write whole memory block with stream function */
+   e = write_func(closure, data, (unsigned int)len);
+
+   /*  free JPEG memory again and return the return value */
+   free(data);
+   return e;
+
+}
+
+
+/*! This function creates a JPEG file from a Cairo image surface.
+ * @param sfc Pointer to a Cairo *image* surface. Its format must either be
+ * CAIRO_FORMAT_ARGB32 or CAIRO_FORMAT_RGB24. Other formats are not supported
+ * by this function, yet.
+ * @param filename Pointer to the filename.
+ * @param quality Compression quality, 0-100.
+ * @return In case of success CAIRO_STATUS_SUCCESS is returned. If an error
+ * occured while opening/creating the file CAIRO_STATUS_DEVICE_ERROR is
+ * returned. The error can be tracked down by inspecting errno(3). The function
+ * internally calles cairo_image_surface_write_to_jpeg_stream() and returnes
+ * its return value respectively (see there).
+ */
+cairo_status_t cairo_image_surface_write_to_jpeg(cairo_surface_t *sfc, const char *filename, int quality)
+{
+   cairo_status_t e;
+   int outfile;
+
+   /*  Open/create new file */
+   if ((outfile = open(filename, O_WRONLY | O_CREAT, S_IRUSR | S_IWUSR | S_IRGRP | S_IROTH)) == -1)
+      return CAIRO_STATUS_DEVICE_ERROR;
+
+   /*  write surface to file */
+   e = cairo_image_surface_write_to_jpeg_stream(sfc, cj_write, (void*)(intptr_t) outfile, quality);
+
+   /*  close file again and return */
+   close(outfile);
+   return e;
+}
+
+
+
+/*! This function decompresses a JPEG image from a memory buffer and creates a
+ * Cairo image surface.
+ * @param data Pointer to JPEG data (i.e. the full contents of a JPEG file read
+ * into this buffer).
+ * @param len Length of buffer in bytes.
+ * @return Returns a pointer to a cairo_surface_t structure. It should be
+ * checked with cairo_surface_status() for errors.
+ */
+cairo_surface_t *cairo_image_surface_create_from_jpeg_mem(void *data, size_t len)
+{
+   struct jpeg_decompress_struct cinfo;
+   struct jpeg_error_mgr jerr;
+   JSAMPROW row_pointer[1];
+   cairo_surface_t *sfc;
+ 
+   /*  initialize jpeg decompression structures */
+   cinfo.err = jpeg_std_error(&jerr);
+   jpeg_create_decompress(&cinfo);
+   jpeg_mem_src(&cinfo, data, len);
+   (void) jpeg_read_header(&cinfo, TRUE);
+
+#ifdef LIBJPEG_TURBO_VERSION
+#if __BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__
+   cinfo.out_color_space = JCS_EXT_BGRA;
+#else
+   cinfo.out_color_space = JCS_EXT_ARGB;
+#endif
+#else
+   cinfo.out_color_space = JCS_RGB;
+#endif
+
+   /*  start decompressor */
+   (void) jpeg_start_decompress(&cinfo);
+
+   /*  create Cairo image surface */
+   sfc = cairo_image_surface_create(CAIRO_FORMAT_RGB24, cinfo.output_width, cinfo.output_height);
+   if (cairo_surface_status(sfc) != CAIRO_STATUS_SUCCESS)
+   {
+      jpeg_destroy_decompress(&cinfo);
+      return sfc;
+   }
+
+   /*  loop over all scanlines and fill Cairo image surface */
+   while (cinfo.output_scanline < cinfo.output_height)
+   {
+      unsigned char *row_address = cairo_image_surface_get_data(sfc) +
+         (cinfo.output_scanline * cairo_image_surface_get_stride(sfc));
+      row_pointer[0] = row_address;
+      (void) jpeg_read_scanlines(&cinfo, row_pointer, 1);
+#ifndef LIBJPEG_TURBO_VERSION
+      pix_conv(row_address, 4, row_address, 3, cinfo.output_width);
+#endif
+   }
+
+   /*  finish and close everything */
+   cairo_surface_mark_dirty(sfc);
+   (void) jpeg_finish_decompress(&cinfo);
+   jpeg_destroy_decompress(&cinfo);
+
+   /*  set jpeg mime data */
+   cairo_surface_set_mime_data(sfc, CAIRO_MIME_TYPE_JPEG, data, len, free, data);
+
+   return sfc;
+}
+
+
+/*! This function reads a JPEG image from a stream and creates a Cairo image
+ * surface.
+ * @param read_func Pointer to function which reads data.
+ * @param closure Pointer which is passed to read_func().
+ * @return Returns a pointer to a cairo_surface_t structure. It should be
+ * checked with cairo_surface_status() for errors.
+ * @note If the surface returned is invalid you can use errno(3) to determine
+ * further reasons. Errno is set according to realloc(3). If you
+ * intend to check errno you shall set it to 0 before calling this function
+ * because it modifies errno only in case of an error.
+ */
+#ifdef USE_CAIRO_READ_FUNC_LEN_T
+cairo_surface_t *cairo_image_surface_create_from_jpeg_stream(cairo_read_func_len_t read_func, void *closure)
+#else
+cairo_surface_t *cairo_image_surface_create_from_jpeg_stream(cairo_read_func_t read_func, void *closure)
+#endif
+{
+   cairo_surface_t *sfc;
+   unsigned char *data, *tmp;
+   ssize_t len, rlen;
+   int eof = 0;
+
+   /*  read all data into memory buffer in blocks of CAIRO_JPEG_IO_BLOCK_SIZE  */
+   for (len = 0, data = NULL; !eof; len += rlen)
+   {
+      /*  grow memory buffer and check for error */
+      if ((tmp = realloc(data, len + CAIRO_JPEG_IO_BLOCK_SIZE)) == NULL)
+         break;
+      data = tmp;
+
+      /*  read bytes into buffer and check for error */
+      rlen = read_func(closure, data + len, CAIRO_JPEG_IO_BLOCK_SIZE);
+#ifdef USE_CAIRO_READ_FUNC_LEN_T
+      /*  check for error */
+      if (rlen == -1)
+         break;
+
+      /*  check if EOF occured */
+      if (rlen < CAIRO_JPEG_IO_BLOCK_SIZE)
+         eof++;
+#else
+      /*  check for error */
+      if (rlen == CAIRO_STATUS_READ_ERROR)
+         eof++;
+#endif
+   }
+
+   /*  check for error in read loop */
+   if (!eof)
+   {
+      free(data);
+      return cairo_image_surface_create(CAIRO_FORMAT_INVALID, 0, 0);
+   }
+
+   /*  call jpeg decompression and return surface */
+   sfc = cairo_image_surface_create_from_jpeg_mem(data, len);
+   if (cairo_surface_status(sfc) != CAIRO_STATUS_SUCCESS)
+      free(data);
+
+   return sfc;
+}
+
+
+#ifdef CAIRO_JPEG_USE_FSTAT
+/*! This function reads an JPEG image from a file an creates a Cairo image
+ * surface. Internally the filesize is determined with fstat(2) and then the
+ * whole data is read at once.
+ * @param filename Pointer to filename of JPEG file.
+ * @return Returns a pointer to a cairo_surface_t structure. It should be
+ * checked with cairo_surface_status() for errors.
+ * @note If the returned surface is invalid you can use errno to determine
+ * further reasons. Errno is set according to fopen(3) and malloc(3). If you
+ * intend to check errno you shall set it to 0 before calling this function
+ * because it does not modify errno itself.
+ */
+cairo_surface_t *cairo_image_surface_create_from_jpeg(const char *filename)
+{
+   void *data;
+   int infile;
+   struct stat stat;
+   int s;
+
+   /*  open input file */
+   if ((infile = open(filename, O_RDONLY)) == -1)
+      return cairo_image_surface_create(CAIRO_FORMAT_INVALID, 0, 0);
+
+   /*  get stat structure for file size */
+   if (fstat(infile, &stat) == -1)
+      return cairo_image_surface_create(CAIRO_FORMAT_INVALID, 0, 0);
+
+   /*  allocate memory */
+   if ((data = malloc(stat.st_size)) == NULL)
+      return cairo_image_surface_create(CAIRO_FORMAT_INVALID, 0, 0);
+
+   /*  read data */
+   s = (int)read(infile, data, stat.st_size);
+   if ( s < stat.st_size)
+      return cairo_image_surface_create(CAIRO_FORMAT_INVALID, 0, 0);
+
+   close(infile);
+
+   return cairo_image_surface_create_from_jpeg_mem(data, stat.st_size);
+}
+
+#else
+
+
+/*! This is the read function which is called by
+ * cairo_image_surface_create_from_jpeg_stream() (non-fstat-version below). It
+ * is not exported.
+ */
+#ifdef USE_CAIRO_READ_FUNC_LEN_T
+static ssize_t cj_read(void *closure, unsigned char *data, unsigned int length)
+{
+   return read((intptr_t) closure, data, length);
+}
+#else
+static cairo_status_t cj_read(void *closure, unsigned char *data, unsigned int length)
+{
+   return read((intptr_t) closure, data, length) < length ? CAIRO_STATUS_READ_ERROR : CAIRO_STATUS_SUCCESS;
+}
+#endif
+
+
+/*! This function reads an JPEG image from a file an creates a Cairo image
+ * surface. Internally the function calls
+ * cairo_image_surface_create_from_jpeg_stream() to actually read the data.
+ * @param filename Pointer to filename of JPEG file.
+ * @return Returns a pointer to a cairo_surface_t structure. It should be
+ * checked with cairo_surface_status() for errors.
+ * @note If the returned surface is invalid you can use errno to determine
+ * further reasons. Errno is set according to fopen(3) and malloc(3). If you
+ * intend to check errno you shall set it to 0 before calling this function
+ * because it does not modify errno itself.
+ */
+cairo_surface_t *cairo_image_surface_create_from_jpeg(const char *filename)
+{
+   cairo_surface_t *sfc;
+   int infile;
+
+   /*  open input file */
+   if ((infile = open(filename, O_RDONLY)) == -1)
+      return cairo_image_surface_create(CAIRO_FORMAT_INVALID, 0, 0);
+
+   /*  call stream loading function */
+   sfc = cairo_image_surface_create_from_jpeg_stream(cj_read, (void*)(intptr_t) infile);
+   close(infile);
+
+   return sfc;
+}
+
+#endif
+
+
+#ifdef CAIRO_JPEG_MAIN
+#include <string.h>
+#include <strings.h>
+
+int strrcasecmp(const char *s1, const char *s2)
+{
+   int off = (int) strlen(s1) - (int) strlen(s2); /* typecast size_t to int because size_t typically is unsigned */
+   return strcasecmp(s1 + (off < 0 ? 0 : off), s2);
+}
+
+/*! Main routine, only for testing. #undef CAIRO_JPEG_MAIN or simply delete
+ * this part if you link this file to your own program.
+ */
+int main(int argc, char **argv)
+{
+   cairo_surface_t *sfc;
+
+#ifndef CAIRO_JPEG_TEST_SIMILAR
+   if (argc < 3)
+   {
+      fprintf(stderr, "usage: %s <infile> <outfile>\n", argv[0]);
+      return 1;
+   }
+
+   /*  test input file type and read file */
+   if (!strrcasecmp(argv[1], ".png"))
+   {
+      /*  read PNG file */
+      sfc = cairo_image_surface_create_from_png(argv[1]);
+   }
+   else if (!strrcasecmp(argv[1], ".jpg"))
+   {
+      /*  read JPEG file */
+      sfc = cairo_image_surface_create_from_jpeg(argv[1]);
+   }
+   else
+   {
+      fprintf(stderr, "source file is neither JPG nor PNG\n");
+      return 1;
+   }
+
+   /*  check surface status */
+   if (cairo_surface_status(sfc) != CAIRO_STATUS_SUCCESS)
+   {
+      fprintf(stderr, "error loading image: %s", cairo_status_to_string(cairo_surface_status(sfc)));
+      return 2;
+   }
+
+   /*  test output file type and write file */
+   if (!strrcasecmp(argv[2], ".png"))
+   {
+       /*  write PNG file */
+      cairo_surface_write_to_png(sfc, argv[2]);
+   }
+   else if (!strrcasecmp(argv[2], ".jpg"))
+   {
+      /*  write JPEG file */
+      cairo_image_surface_write_to_jpeg(sfc, argv[2], 90);
+   }
+   else
+   {
+      fprintf(stderr, "destination file is neither JPG nor PNG\n");
+      return 1;
+   }
+
+   cairo_surface_destroy(sfc);
+
+#else
+   sfc = cairo_pdf_surface_create("xyz.pdf", 595.276, 841.890);
+
+   cairo_t *ctx = cairo_create(sfc);
+   cairo_set_source_rgb(ctx, 1, 1, 1);
+   cairo_paint(ctx);
+   cairo_move_to(ctx, 100, 100);
+   cairo_set_source_rgb(ctx, 1, 0, 0);
+   cairo_set_line_width(ctx, 3);
+   cairo_line_to(ctx, 400, 400);
+   cairo_stroke(ctx);
+   cairo_destroy(ctx);
+
+   cairo_image_surface_write_to_jpeg(sfc, "xyz.jpg", 90);
+   cairo_surface_destroy(sfc);
+#endif
+
+   return 0;
+}
+
+#endif
+#endif /* HAS_LIBJPEG  && HAS_CAIRO */
+typedef int make_iso_compilers_happy; /* to avoid empty translation unit */
diff --git a/src/cairo_jpg.c:Zone.Identifier b/src/cairo_jpg.c:Zone.Identifier
deleted file mode 100644
index f03a667c..00000000
--- a/src/cairo_jpg.c:Zone.Identifier
+++ /dev/null
@@ -1,3 +0,0 @@
-[ZoneTransfer]
-ZoneId=3
-HostUrl=https://raw.githubusercontent.com/rahra/cairo_jpg/master/src/cairo_jpg.c
diff --git a/src/cairo_jpg.h:Zone.Identifier b/src/cairo_jpg.h:Zone.Identifier
deleted file mode 100644
index 96af666e..00000000
--- a/src/cairo_jpg.h:Zone.Identifier
+++ /dev/null
@@ -1,3 +0,0 @@
-[ZoneTransfer]
-ZoneId=3
-HostUrl=https://raw.githubusercontent.com/rahra/cairo_jpg/master/src/cairo_jpg.h
diff --git a/src/draw.c b/src/draw.c
index 9b93252f..2c4b1273 100644
--- a/src/draw.c
+++ b/src/draw.c
@@ -3061,7 +3061,7 @@ typedef struct
   size_t size;
 } png_to_byte_closure_t;
 
-static cairo_status_t png_reader(void *in_closure, unsigned char *out_data, unsigned int length)
+cairo_status_t png_reader(void *in_closure, unsigned char *out_data, unsigned int length)
 {
   png_to_byte_closure_t *closure = (png_to_byte_closure_t *) in_closure;
   if(!closure->buffer) return CAIRO_STATUS_READ_ERROR;
@@ -3133,6 +3133,7 @@ void draw_image(int dr, xRect *r, double *x1, double *y1, double *x2, double *y2
     if(filter) {
       size_t filtersize = 0;
       char *filterdata = NULL;
+      dbg(1, "draw_image(): filter=%s, image_data=%s\n", filter, attr);
       closure.buffer = NULL;
       filterdata = (char *)base64_decode(attr, strlen(attr), &filtersize);
       filter_data(filterdata, filtersize, (char **)&closure.buffer, &data_size, filter); 
@@ -3298,8 +3299,8 @@ void svg_embedded_graph(FILE *fd, xRect *r, double rx1, double ry1, double rx2,
   rwi = (int) (rw * scale + 1.0);
   rhi = (int) (rh * scale + 1.0);
   save_restore_zoom(1);
-  set_viewport_size(rwi, rhi, 1.0);
-  zoom_box(rx1, ry1, rx2, ry2, 1.0);
+  set_viewport_size(rwi, rhi, xctx->lw);
+  zoom_box(rx1 - xctx->lw, ry1 - xctx->lw, rx2 + xctx->lw, ry2 + xctx->lw, 1.0);
   resetwin(1, 1, 1, rwi, rhi);
   save_draw_grid = tclgetboolvar("draw_grid");
   tclsetvar("draw_grid", "0");
diff --git a/src/editprop.c b/src/editprop.c
index 5f17102a..73f77a21 100644
--- a/src/editprop.c
+++ b/src/editprop.c
@@ -1501,6 +1501,13 @@ void edit_property(int x)
    return;
  } /* if((xctx->lastsel==0 ) */
 
+ /* set 'preserve unchanged properties if multiple selection */
+ if(xctx->lastsel > 1) {
+   tclsetvar("preserve_unchanged_attrs", "1");
+ } else {
+   tclsetvar("preserve_unchanged_attrs", "0");
+ }
+
  switch(xctx->sel_array[0].type)
  {
   case ELEMENT:
diff --git a/src/options.c b/src/options.c
index eea8e09a..165610a1 100644
--- a/src/options.c
+++ b/src/options.c
@@ -108,6 +108,7 @@ static void check_opt(char *opt, char *optval, int type)
     } else if( (type == SHORT && *opt == 'l') || (type == LONG && !strcmp("log", opt)) ) {
         if(optval) {
           errfp = fopen(optval, "w");
+          setvbuf(errfp, NULL, _IOLBF, 0); /* line (_IOLBF) or disable (_IONBF) buffering on error log */
           if(!errfp) {
             errfp=stderr;
             dbg(0, "Problems opening log file: %s\n", optval);
diff --git a/src/psprint.c b/src/psprint.c
index 521f2694..f50a0ece 100644
--- a/src/psprint.c
+++ b/src/psprint.c
@@ -24,9 +24,6 @@
 #define X_TO_PS(x) ( (x+xctx->xorigin)* xctx->mooz )
 #define Y_TO_PS(y) ( (y+xctx->yorigin)* xctx->mooz )
 
-/* FIXME This must be investigated, without some fflushes the ps file is corrupted */
-//#define FFLUSH_PS
-
 #if 0
 *   /* FIXME: overflow check. Not used, BTW */
 *   static char *strreplace(char s[], char token[], char replace[])
@@ -107,61 +104,64 @@ typedef struct
         size_t pos;
         size_t size;
 } png_to_byte_closure_t;
-
-cairo_status_t png_reader(void* in_closure, unsigned char* out_data, unsigned int length)
-{
-        png_to_byte_closure_t* closure = (png_to_byte_closure_t*)in_closure;
-        if (!closure->buffer) return CAIRO_STATUS_READ_ERROR;
-        memcpy(out_data, closure->buffer + closure->pos, length);
-        closure->pos += length;
-        return CAIRO_STATUS_SUCCESS;
-}
-
 void ps_drawPNG(xRect* r, double x1, double y1, double x2, double y2, int rot, int flip)
 {
+  #if defined(HAS_LIBJPEG) && defined(HAS_CAIRO)
   int i;
-  size_t data_size;
-  png_to_byte_closure_t closure;
+  size_t data_size = 0;
+  png_to_byte_closure_t closure = {NULL, 0, 0};
   char* filter = NULL;
   int png_size_x, png_size_y;
-  unsigned char *png_data, BG_r, BG_g, BG_b;
+  unsigned char *png_data = NULL, BG_r, BG_g, BG_b;
   int invertImage;
   /* static char str[PATH_MAX];
    * FILE* fp;
    */
   unsigned char* ascii85EncodedJpeg;
   char* image_data64_ptr = NULL;
-  cairo_surface_t* surface;
+  cairo_surface_t* surface = NULL;
   unsigned char* jpgData = NULL;
   size_t fileSize = 0;
+  int quality=100;
+  const char *quality_attr;
+  size_t image_data_len;
 
+  quality_attr = get_tok_value(r->prop_ptr, "jpeg_quality", 0);
+  if(quality_attr[0]) quality = atoi(quality_attr);
+  else {
+    quality_attr = get_tok_value(r->prop_ptr, "jpg_quality", 0);
+    if(quality_attr[0]) quality = atoi(quality_attr);
+  }
   my_strdup(59, &filter, get_tok_value(r->prop_ptr, "filter", 0));
+  image_data_len = my_strdup2(1183, &image_data64_ptr, get_tok_value(r->prop_ptr, "image_data", 0));
 
-  my_strdup2(1183, &image_data64_ptr, get_tok_value(r->prop_ptr, "image_data", 0));
   if (filter) {
     size_t filtersize = 0;
     char* filterdata = NULL;
     closure.buffer = NULL;
-    filterdata = (char*)base64_decode(image_data64_ptr, strlen(image_data64_ptr), &filtersize);
+    filterdata = (char*)base64_decode(image_data64_ptr, image_data_len, &filtersize);
     filter_data(filterdata, filtersize, (char**)&closure.buffer, &data_size, filter);
     my_free(1661, &filterdata);
   }
   else {
-    closure.buffer = base64_decode(image_data64_ptr, strlen(image_data64_ptr), &data_size);
+    closure.buffer = base64_decode(image_data64_ptr, image_data_len, &data_size);
   }
-  my_free(1663, &filter);
+  my_free(1664, &filter);
   my_free(1184, &image_data64_ptr);
   closure.pos = 0;
   closure.size = data_size; /* should not be necessary */
   surface = cairo_image_surface_create_from_png_stream(png_reader, &closure);
-  my_free(1666, &closure.buffer);
+
   png_size_x = cairo_image_surface_get_width(surface);
   png_size_y = cairo_image_surface_get_height(surface);
 
   cairo_surface_flush(surface);
+  my_free(1667, &closure.buffer);
   png_data = cairo_image_surface_get_data(surface);
 
   invertImage = !strcmp(get_tok_value(r->prop_ptr, "InvertOnExport", 0), "true");
+  if(!invertImage)
+    invertImage = !strcmp(get_tok_value(r->prop_ptr, "ps_invert", 0), "true");
   BG_r = 0xFF; BG_g = 0xFF; BG_b = 0xFF;
   for (i = 0; i < (png_size_x * png_size_y * 4); i += 4)
   {
@@ -174,11 +174,11 @@ void ps_drawPNG(xRect* r, double x1, double y1, double x2, double y2, int rot, i
 
     if(invertImage)
     {
-      png_data[i + 0] = (0xFF-png_r) + (unsigned char)((double)BG_r * ainv);
-      png_data[i + 1] = (0xFF-png_g) + (unsigned char)((double)BG_g * ainv);
-      png_data[i + 2] = (0xFF-png_b) + (unsigned char)((double)BG_b * ainv);
+      png_data[i + 0] = (unsigned char)(0xFF-png_r) + (unsigned char)((double)BG_r * ainv);
+      png_data[i + 1] = (unsigned char)(0xFF-png_g) + (unsigned char)((double)BG_g * ainv);
+      png_data[i + 2] = (unsigned char)(0xFF-png_b) + (unsigned char)((double)BG_b * ainv);
       png_data[i + 3] = 0xFF;
-    }else
+    } else
     {
       png_data[i + 0] = png_r + (unsigned char)((double)BG_r * ainv);
       png_data[i + 1] = png_g + (unsigned char)((double)BG_g * ainv);
@@ -245,15 +245,14 @@ void ps_drawPNG(xRect* r, double x1, double y1, double x2, double y2, int rot, i
   fprintf(fd, "~>\n");
   
   fprintf(fd, "grestore\n");
-
+  cairo_surface_destroy(surface);
   my_free(1663, &ascii85EncodedJpeg);
   free(jpgData);
 }
 
-
 void ps_embedded_graph(xRect* r, double rx1, double ry1, double rx2, double ry2)
 {
-  #if defined(HAS_CAIRO)
+  #if defined(HAS_LIBJPEG) && defined(HAS_CAIRO)
   double  rw, rh, scale;
   cairo_surface_t* png_sfc;
   int save_draw_window, save_draw_grid, rwi, rhi;
@@ -266,6 +265,16 @@ void ps_embedded_graph(xRect* r, double rx1, double ry1, double rx2, double ry2)
    * static char str[PATH_MAX];
    */
   unsigned char *ascii85EncodedJpeg;
+  int quality=100;
+  const char *quality_attr;
+
+  quality_attr = get_tok_value(r->prop_ptr, "jpeg_quality", 0);
+  if(quality_attr[0]) quality = atoi(quality_attr);
+  else {
+    quality_attr = get_tok_value(r->prop_ptr, "jpg_quality", 0);
+    if(quality_attr[0]) quality = atoi(quality_attr);
+  }
+  if(quality_attr[0]) quality = atoi(quality_attr);
   if (!has_x) return;
   rw = fabs(rx2 - rx1);
   rh = fabs(ry2 - ry1);
@@ -279,8 +288,8 @@ void ps_embedded_graph(xRect* r, double rx1, double ry1, double rx2, double ry2)
   rwi = (int)(rw * scale + 1.0);
   rhi = (int)(rh * scale + 1.0);
   save_restore_zoom(1);
-  set_viewport_size(rwi, rhi, 1.0);
-  zoom_box(rx1-2, ry1-2, rx2+2, ry2+2, 1.0);
+  set_viewport_size(rwi, rhi, xctx->lw);
+  zoom_box(rx1 - xctx->lw, ry1 - xctx->lw, rx2 + xctx->lw, ry2 + xctx->lw, 1.0);
   resetwin(1, 1, 1, rwi, rhi);
   save_draw_grid = tclgetboolvar("draw_grid");
   tclsetvar("draw_grid", "0");
@@ -312,10 +321,11 @@ void ps_embedded_graph(xRect* r, double rx1, double ry1, double rx2, double ry2)
     }
   }
   #endif
-  cairo_image_surface_write_to_jpeg_mem(png_sfc, &jpgData, &fileSize, 100);
+  cairo_image_surface_write_to_jpeg_mem(png_sfc, &jpgData, &fileSize, quality);
 
   int oLength;
   ascii85EncodedJpeg = ascii85_encode(jpgData, fileSize, &oLength, 0);
+  free(jpgData);
 
   cairo_surface_destroy(png_sfc);
   xctx->draw_pixmap = 1;
@@ -365,9 +375,8 @@ void ps_embedded_graph(xRect* r, double rx1, double ry1, double rx2, double ry2)
   fprintf(fd, "grestore\n");
 
   my_free(1666, &ascii85EncodedJpeg);
-  free(jpgData);
+  
   #endif
-
 }
 static void set_lw(void)
 {
@@ -383,9 +392,6 @@ static void set_ps_colors(unsigned int pixel)
    if(color_ps) fprintf(fd, "%g %g %g RGB\n",
      (double)ps_colors[pixel].red/256.0, (double)ps_colors[pixel].green/256.0,
      (double)ps_colors[pixel].blue/256.0);
-   #ifdef FFLUSH_PS /* FIXME: why is this needed? */
-   fflush(fd);
-   #endif
 
 }
 
diff --git a/src/save.c b/src/save.c
index 17b3564a..65c1d348 100644
--- a/src/save.c
+++ b/src/save.c
@@ -25,6 +25,34 @@
 #include <sys/wait.h>  /* waitpid */
 #endif
 
+
+/* splits a command string into argv-like arguments
+ * return # of args in *argc
+ * argv[*argc] is always set to NULL
+ * parse_cmd_string(NULL, NULL) to clear static allocated data */
+#define PARSE_SIZE 128
+char **parse_cmd_string(const char *cmd, int *argc)
+{
+  static char *cmd_copy = NULL;
+  static char *argv[PARSE_SIZE];
+  char *cmd_ptr, *cmd_save;
+  if(!cmd || !cmd[0]) {
+    if(cmd_copy) my_free(1670, &cmd_copy);
+    return NULL;
+  }
+  *argc = 0;
+  my_strdup2(1669, &cmd_copy, cmd);
+  cmd_ptr = cmd_copy;
+  while( (argv[*argc] = my_strtok_r(cmd_ptr, " \t", "'\"", &cmd_save)) ) {
+    cmd_ptr = NULL;
+    dbg(1, "--> %s\n", argv[*argc]);
+    (*argc)++;
+    if(*argc >= PARSE_SIZE) break;
+  }
+  argv[*argc] = NULL; /*terminating pointer needed by execvp() */
+  return argv;
+}
+
 /* get an input databuffer (din[ilen]), and a shell command (cmd) that reads stdin
  * and writes stdout, return the result in dout[olen].
  * Caller must free the returned buffer.
@@ -36,7 +64,7 @@ int filter_data(const char *din,  const size_t ilen,
 {
   int p1[2]; /* parent -> child, 0: read, 1: write */
   int p2[2]; /* child -> parent, 0: read, 1: write */
-  int ret = 0;
+  int ret = 0, wstatus;
   pid_t pid;
   size_t bufsize = 32768, oalloc = 0, n = 0;
 
@@ -49,23 +77,55 @@ int filter_data(const char *din,  const size_t ilen,
   dbg(1, "filter_data(): ilen=%ld, cmd=%s\n", ilen, cmd);
   pipe(p1);
   pipe(p2);
+
+  dbg(1, "p1[0] = %d\n", p1[0]);
+  dbg(1, "p1[1] = %d\n", p1[1]);
+  dbg(1, "p2[0] = %d\n", p2[0]);
+  dbg(1, "p2[1] = %d\n", p2[1]);
+
+   
   signal(SIGPIPE, SIG_IGN); /* so attempting write/read a broken pipe won't kill program */
+/* 
+ *                                  p2
+ *  -------------------   p2[0] <--------- p2[1]   -------------------  
+ * |   Parent program  |                          |   Child filter    |    
+ *  -------------------   p1[1] ---------> p1[0]   -------------------  
+ *                                  p1
+ */
+  fflush(NULL); /* flush all stdio streams before process forking */
   if( (pid = fork()) == 0) {
+    #if 1
+    char **av;
+    int ac;
+    #endif
     /* child */
     close(p1[1]); /* only read from p1 */
     close(p2[0]); /* only write to p2 */
     close(0); /* dup2(p1[0],0); */  /* connect read side of read pipe to stdin */
     dup(p1[0]);
+    close(p1[0]);
     close(1); /* dup2(p2[1],1); */ /* connect write side of write pipe to stdout */
     dup(p2[1]);
-    /* execlp("gm", "gm", "convert", "-", "-quality", "50", "jpg:-", NULL); */
-    if(system(cmd)) {
+    close(p2[1]);
+
+    #if 1
+    av = parse_cmd_string(cmd, &ac);
+    if(execvp(av[0], av) == -1) {
+    #endif
+
+    #if 0
+    if(execl("/bin/sh", "sh", "-c", cmd, (char *) NULL) == -1) {
+    #endif
+
+    #if 0
+    if(system(cmd) == -1) {
+    #endif
+
       fprintf(stderr, "error: conversion failed\n");
       ret = 1;
     }
-    close(p1[0]);
-    close(p2[1]);
-    exit(ret);
+    _exit(ret); /* childs should always use _exit() to avoid 
+                 * flushing open stdio streams and other unwanted side effects */
   }
   /* parent */
   close(p1[0]); /*only write to p1 */
@@ -74,6 +134,7 @@ int filter_data(const char *din,  const size_t ilen,
     fprintf(stderr, "filter_data() write to pipe failed or not completed\n");
     ret = 1;
   }
+  fsync(p1[1]);
   close(p1[1]);
   if(!ret) {
     oalloc = bufsize + 1; /* add extra space for final '\0' */
@@ -81,6 +142,7 @@ int filter_data(const char *din,  const size_t ilen,
     *olen = 0;
     while( (n = read(p2[0], *dout + *olen, bufsize)) > 0) {
       *olen += n;
+      dbg(1, "filter_data(): olen=%d, oalloc=%d\n", *olen, oalloc);
       if(*olen + bufsize + 1 >= oalloc) { /* allocate for next read */
         oalloc = *olen + bufsize + 1; /* add extra space for final '\0' */
         oalloc = ((oalloc << 2) + oalloc) >> 2; /* size up 1.25x */
@@ -90,7 +152,6 @@ int filter_data(const char *din,  const size_t ilen,
     }
     if(*olen) (*dout)[*olen] = '\0'; /* so (if ascii) it can be used as a string */
   }
-  close(p2[0]);
   if(n < 0 || !*olen) {
     if(oalloc) {
       my_free(1483, dout);
@@ -99,11 +160,16 @@ int filter_data(const char *din,  const size_t ilen,
     fprintf(stderr, "no data read\n");
     ret = 1;
   }
-  waitpid(pid, NULL, 0); /* write for child process to finish and unzombie it */
+  waitpid(pid, &wstatus, 0); /* write for child process to finish and unzombie it */
+  close(p2[0]);
   signal(SIGPIPE, SIG_DFL); /* restore default SIGPIPE signal action */
+
+  if(WIFEXITED(wstatus)) dbg(1, "Child exited normally\n");
+  dbg(1, "Child exit status=%d\n", WEXITSTATUS(wstatus));
+  if(WIFSIGNALED(wstatus))dbg(1, "Child was terminated by signal\n");
   return ret;
 }
-#else
+#else /* anyone wanting to write a similar function for windows Welcome! */
 int filter_data(const char* din, const size_t ilen,
   char** dout, size_t* olen,
   const char* cmd)
@@ -541,6 +607,7 @@ void free_rawfile(int dr)
   int i;
 
   int deleted = 0;
+  dbg(1, "free_rawfile(): clearing data\n");
   if(xctx->graph_names) {
     deleted = 1;
     for(i = 0 ; i < xctx->graph_nvars; i++) {
@@ -2409,12 +2476,13 @@ void push_undo(void)
     #elif HAS_PIPE==1
     my_snprintf(diff_name, S(diff_name), "%s/undo%d", xctx->undo_dirname, xctx->cur_undo_ptr%MAX_UNDO);
     pipe(pd);
+    fflush(NULL); /* flush all stdio streams before process forking */
     if((pid = fork()) ==0) {                                    /* child process */
       close(pd[1]);                                     /* close write side of pipe */
       if(!(diff_fd=freopen(diff_name,"w", stdout)))     /* redirect stdout to file diff_name */
       {
         dbg(1, "push_undo(): problems opening file %s \n",diff_name);
-        tcleval("exit");
+        _exit(1);
       }
 
       /* the following 2 statements are a replacement for dup2() which is not c89
@@ -2429,7 +2497,7 @@ void push_undo(void)
       execlp("gzip", "gzip", "--fast", "-c", NULL);       /* replace current process with comand */
       /* never gets here */
       fprintf(errfp, "push_undo(): problems with execlp\n");
-      tcleval("exit");
+      _exit(1);
     }
     close(pd[0]);                                       /* close read side of pipe */
     fd=fdopen(pd[1],"w");
@@ -2509,12 +2577,13 @@ void pop_undo(int redo, int set_modify_status)
   #elif HAS_PIPE==1
   my_snprintf(diff_name, S(diff_name), "%s/undo%d", xctx->undo_dirname, xctx->cur_undo_ptr%MAX_UNDO);
   pipe(pd);
+  fflush(NULL); /* flush all stdio streams before process forking */
   if((pid = fork())==0) {                                     /* child process */
     close(pd[0]);                                    /* close read side of pipe */
     if(!(diff_fd=freopen(diff_name,"r", stdin)))     /* redirect stdin from file name */
     {
       dbg(1, "pop_undo(): problems opening file %s \n",diff_name);
-      tcleval("exit");
+      _exit(1);
     }
     /* connect write side of pipe to stdout */
     #if HAS_DUP2
@@ -2526,7 +2595,7 @@ void pop_undo(int redo, int set_modify_status)
     execlp("gzip", "gzip", "-d", "-c", NULL);       /* replace current process with command */
     /* never gets here */
     dbg(1, "pop_undo(): problems with execlp\n");
-    tcleval("exit");
+    _exit(1);
   }
   close(pd[1]);                                       /* close write side of pipe */
   fd=fdopen(pd[0],"r");
diff --git a/src/scheduler.c b/src/scheduler.c
index 7ec90de1..3839751d 100644
--- a/src/scheduler.c
+++ b/src/scheduler.c
@@ -1875,7 +1875,19 @@ int xschem(ClientData clientdata, Tcl_Interp *interp, int argc, const char * arg
     else { cmd_found = 0;}
     break;
     case 'p': /*----------------------------------------------*/
-    if(!strcmp(argv[1], "parselabel")) 
+    if(!strcmp(argv[1], "parse_cmd")) 
+    {
+      if(argc > 2) {
+        int c, i;
+        char **av;
+        av = parse_cmd_string(argv[2], &c);
+        for(i = 0; i < c; i++) {
+          dbg(0, "--> %s\n", av[i]);
+        }
+      }
+    }
+
+    else if(!strcmp(argv[1], "parselabel")) 
     {
       if(argc > 2) {
         parse(argv[2]);
diff --git a/src/track_memory.awk b/src/track_memory.awk
index c6643b58..238bae82 100755
--- a/src/track_memory.awk
+++ b/src/track_memory.awk
@@ -75,7 +75,7 @@ END{
     leak+= address[i]
     print "  address[ " i ", " idx[i] " ]= " address[i]
     if(show_source) {
-      pipe = "egrep -n 'my_(malloc|calloc|realloc|free|strdup|strdup2)\\(" idx[i] ",' *.c xschem.h"
+      pipe = "egrep -n '^my_(malloc|calloc|realloc|free|strdup|strdup2)\\(" idx[i] ",' *.c xschem.h"
       while( pipe | getline a) print "    " a
       close(pipe)
     }
diff --git a/src/xinit.c b/src/xinit.c
index b81c6c21..09de49f8 100644
--- a/src/xinit.c
+++ b/src/xinit.c
@@ -1703,8 +1703,7 @@ int new_schematic(const char *what, const char *win_path, const char *fname)
 
 void change_linewidth(double w)
 {
-  int i, changed = 0, linew;
-  double oldw = xctx->lw;
+  int i, linew;
 
   /* choose line width automatically based on zoom */
   if(w<0. || xctx->lw == -1.0) {
@@ -1718,10 +1717,6 @@ void change_linewidth(double w)
   } else {
     xctx->lw=w;
   }
-  if(xctx->lw != oldw) {
-    changed = 1;
-  }
-  if(!changed) return;
   if(has_x) {
     linew = INT_WIDTH(xctx->lw);
     dbg(1, "Line width = %d\n", linew);
diff --git a/src/xschem.h b/src/xschem.h
index 65f1b72b..d4dbf412 100644
--- a/src/xschem.h
+++ b/src/xschem.h
@@ -1170,6 +1170,7 @@ extern void hash_wire(int what, int n, int incremental);
 extern void hash_instances(void); /*  20171203 insert instance bbox in spatial hash table */
 
 #if HAS_CAIRO==1
+extern cairo_status_t png_reader(void* in_closure, unsigned char* out_data, unsigned int length);
 extern int text_bbox_nocairo(const char * str,double xscale, double yscale,
             short rot, short flip, int hcenter, int vcenter,
             double x1,double y1, double *rx1, double *ry1,
@@ -1361,6 +1362,7 @@ extern void my_strndup(int id, char **dest, const char *src, size_t n);
 extern size_t my_strdup2(int id, char **dest, const char *src);
 extern char *my_fgets(FILE *fd);
 extern char *my_strtok_r(char *str, const char *delim, const char *quote, char **saveptr);
+extern char **parse_cmd_string(const char *cmd, int *argc);
 extern int my_strncpy(char *d, const char *s, size_t n);
 extern int my_strcasecmp(const char *s1, const char *s2);
 extern double mylog10(double x);
diff --git a/xschem_library/examples/mos_power_ampli.sch b/xschem_library/examples/mos_power_ampli.sch
index bc113808..38ba77e5 100644
--- a/xschem_library/examples/mos_power_ampli.sch
+++ b/xschem_library/examples/mos_power_ampli.sch
@@ -22,11 +22,9 @@ divx=8
 subdivx=1
 dataset=0
 unitx=m
-
-
 color=7
 node=tcleval($\{path\}outi)
-}
+jpeg_quality=30}
 B 2 960 -980 1094 -893 {flags=image alpha=0.7
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}
 B 2 1520 -830 2440 -530 {flags=graph
@@ -40,13 +38,9 @@ divx=8
 subdivx=9
 dataset=0
 unitx=m
-
-
-
 color="8 7"
-node="tcleval(\\"Xm1 power;vpp $\{path\}outi - i(v.$\{path\}vu) *\\"
-\\"Average;vpp $\{path\}outi - i(v.$\{path\}vu) * 200u ravg()\\")"
-}
+node=tcleval($\{path\}outi)
+jpeg_quality=30}
 B 2 1520 -1130 2440 -830 {flags=graph
 y1=-0.19
 y2=160
@@ -58,11 +52,9 @@ divx=8
 subdivx=9
 dataset=0
 unitx=m
-
 color="8 7"
-node="tcleval(\\"Xm2 Power;$\{path\}outi vnn - i(v.$\{path\}vd) *\\"
-\\"Average;$\{path\}outi vnn - i(v.$\{path\}vd) * 200u ravg()\\")"
-}
+node=tcleval($\{path\}outi)
+jpeg_quality=30}
 B 2 960 -1050 1094 -987 {flags=image
 alpha=0.7
 image=/home/schippes/x/3.png
diff --git a/xschem_library/examples/poweramp.sch b/xschem_library/examples/poweramp.sch
index 30d84321..d23390ab 100644
--- a/xschem_library/examples/poweramp.sch
+++ b/xschem_library/examples/poweramp.sch
@@ -27,7 +27,8 @@ i(v.x0.vu)
 i(v.x1.vd)
 i(v.x0.vd)"
 color="11 13 12 7"
-unitx=m}
+unitx=m
+jpeg_quality=30}
 B 2 1200 -830 1880 -520 {flags=graph
 y1 = -49
 y2 = 58
@@ -42,7 +43,8 @@ vnn
 x1.vboost
 x0.vboost"
 color="4 15 6 12 7 4"
-unitx=m}
+unitx=m
+jpeg_quality=30}
 B 2 1200 -1020 1880 -830 {flags=graph
 y1 = 0
 y2 = 830
@@ -55,7 +57,8 @@ divx=10
 unitx=m
 color="4 7"
 node="\\"supply power;i(vcurrvnn) vnn * i(vcurrvpp) vpp * +\\"
-\\"running average supply power;i(vcurrvnn) vnn * i(vcurrvpp) vpp * + 200u ravg()\\""}
+\\"running average supply power;i(vcurrvnn) vnn * i(vcurrvpp) vpp * + 200u ravg()\\""
+jpeg_quality=30}
 B 2 1200 -310 1880 -120 {flags=graph
 y1 = 0
 y2 = 840
@@ -68,14 +71,19 @@ divx=10
 unitx=m
 color="4 7"
 node="\\"Load power;outm outp - i(v.x1.v8) *\\"
-\\"Running Average Load power;outm outp - i(v.x1.v8) * 200u ravg()\\""}
+\\"Running Average Load power;outm outp - i(v.x1.v8) * 200u ravg()\\""
+jpeg_quality=30}
 B 2 1740 -1110 1877 -1050 {flags=image
 alpha=0.6
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}
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}
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
+ps_invert=true
+jpeg_quality=30}
 T {actual value
 50u} 400 -820 0 0 0.4 0.4 {}
 T {actual value
diff --git a/xschem_library/ngspice/solar_panel.sch b/xschem_library/ngspice/solar_panel.sch
index 7d701fb3..d415337d 100644
--- a/xschem_library/ngspice/solar_panel.sch
+++ b/xschem_library/ngspice/solar_panel.sch
@@ -64,7 +64,8 @@ x2=0.001
 divx=8
 node="panel
 led" unitx=m
-color="7 4"}
+color="7 4"
+jpeg_quality=20}
 B 2 1260 -390 1680 -220 {flags=graph 
 y1 = 0
 y2 = 6.7
@@ -77,7 +78,8 @@ divx=8
 color="7 4 6"
 node="i(vpanel)
 i(vled)
-\\"R.Avg. I(vpanel); i(vpanel) 20u ravg()\\""}
+\\"R.Avg. I(vpanel); i(vpanel) 20u ravg()\\""
+jpeg_quality=20}
 B 2 1260 -750 1680 -560 {flags=graph 
 y1 = -8.9e-05
 y2 = 100
@@ -93,7 +95,8 @@ node="\\"Panel power; i(vpanel) v(panel) *\\"
 \\"Led power; i(vled) v(led) *\\"
 \\"Avg.Pan. Pwr; i(vpanel) v(panel) * 20u ravg()\\"
 \\"SUN %; sun 100 *\\""
-hilight_wave=-1}
+hilight_wave=-1
+jpeg_quality=20}
 B 2 1260 -940 1680 -750 {flags=graph 
 y1 = 0
 y2 = 1
@@ -110,7 +113,8 @@ level"
 hilight_wave=-1
 digital=0
 ypos1=0.00261891
-ypos2=0.51596}
+ypos2=0.51596
+jpeg_quality=20}
 B 2 1260 -1140 1680 -950 {flags=graph 
 y1 = 0
 y2 = 1
@@ -128,7 +132,8 @@ digital=0
 ypos1=0.00261891
 ypos2=0.51596
 color=8
-node="\\"CTRL1 Duty cycle; ctrl1 20u ravg()\\""}
+node="\\"CTRL1 Duty cycle; ctrl1 20u ravg()\\""
+jpeg_quality=20}
 B 18 85 -840 340 -655 {}
 A 5 340 -840 5.590169943749475 243.434948822922 360 {fill=true}
 P 7 6 415 -655 360 -811.25 355 -825 342.5 -840 330 -845 85 -855 {}
diff --git a/xschem_library/rom8k/rom2_ctrl.sch b/xschem_library/rom8k/rom2_ctrl.sch
index c5451deb..c7c5036c 100644
--- a/xschem_library/rom8k/rom2_ctrl.sch
+++ b/xschem_library/rom8k/rom2_ctrl.sch
@@ -1,4 +1,5 @@
-v {xschem version=3.0.0 file_version=1.2 }
+v {xschem version=3.1.0 file_version=1.2
+}
 G {}
 K {}
 V {}
@@ -18,7 +19,8 @@ xctrl.ldprechref"
 color="12 11"
 digital=0
 ypos1=-0.0691204
-ypos2=0.68559}
+ypos2=0.68559
+jpeg_quality=30}
 B 2 580 -280 1200 -140 {flags=graph
 y1 = 0
 y2 = 1.6
@@ -33,7 +35,8 @@ xctrl.ldcpb"
 color="12 11"
 digital=0
 ypos1=0.071147
-ypos2=1.0465}
+ypos2=1.0465
+jpeg_quality=30}
 B 2 580 -400 1200 -280 {flags=graph
 y1 = 0
 y2 = 1.6
@@ -50,7 +53,8 @@ xctrl.ldoutib"
 color="12 5 11 8"
 digital=1
 ypos1=0.1572
-ypos2=0.829851}
+ypos2=0.829851
+jpeg_quality=30}
 N 360 -670 500 -670 {lab=LDCPB}
 N 240 -760 250 -760 {lab=LDCPB}
 N 240 -760 240 -670 {lab=LDCPB}
diff --git a/xschem_library/rom8k/rom2_sa.sch b/xschem_library/rom8k/rom2_sa.sch
index f58bee07..2e76e7ac 100644
--- a/xschem_library/rom8k/rom2_sa.sch
+++ b/xschem_library/rom8k/rom2_sa.sch
@@ -15,7 +15,8 @@ divx=8
 node="tcleval($\{path\}ldqi
 $\{path\}ldqib
 $\{path\}ldsali)"
-color="9 6 7"}
+color="9 6 7"
+jpeg_quality=30}
 B 2 380 -940 1060 -830 {flags=graph
 y1 = 0
 y2 = 2
@@ -25,7 +26,8 @@ x2=3.4e-07
 divx=8
 node="v(ldcp)
 v(ldprech)"
-color="12 10"}
+color="12 10"
+jpeg_quality=30}
 B 2 380 -650 1060 -510 {flags=graph
 y1 = 0
 y2 = 2
@@ -36,7 +38,8 @@ divx=8
 node="tcleval($\{path\}ldqiii
 $\{path\}ldqii
 $\{path\}ldsali)"
-color="6 8 7"}
+color="6 8 7"
+jpeg_quality=30}
 T {Was:
 60/24} 1420 -310 0 0 0.4 0.4 {}
 T {was: LDCP_B} 510 -410 0 0 0.4 0.4 {}
diff --git a/xschem_library/rom8k/rom8k.sch b/xschem_library/rom8k/rom8k.sch
index 39491b18..6403b270 100644
--- a/xschem_library/rom8k/rom8k.sch
+++ b/xschem_library/rom8k/rom8k.sch
@@ -33,8 +33,8 @@ y1 = -0.048929
 y2 = 0.999755
 divy = 3
 subdivy=1
-x1=100n
-x2=400n  divx=10
+x1=1.30906e-07
+x2=2.4887e-07  divx=10
 node="ldbl[0]
 ldbl[16]
 ldbl[32]
@@ -45,15 +45,15 @@ ldbl[2]
 ldbl[18]
 ldbl[34]"
 color="10 9 10 11 12 13 14 15 11" unitx=n
-}
+jpeg_quality=25}
 B 2 1840 -1160 2890 -1000 {flags=graph
 digital=0
 y1 = 0
 y2 = 1.60
 subdivy=1
 divy = 4
-x1=100n
-x2=400n
+x1=1.30906e-07
+x2=2.4887e-07
 divx=10
 subdivx=4
 node="ldcp
@@ -64,15 +64,15 @@ ldymsref
 xsa[14].ldqii"
 color="6 12 13 14 11 4"
 unitx=n
-}
+jpeg_quality=25}
 B 2 1840 -400 2890 -240 {flags=graph
 y1 = -0.0072
 y2 = 1.6
 divy = 3
 subdivy=0
 subdivx = 1
-x1=100n
-x2=400n  divx=10
+x1=1.30906e-07
+x2=2.4887e-07  divx=10
 node="ldwl[0]
 ldwl[1]
 ldwl[2]
@@ -86,7 +86,8 @@ ldwl[8]
 ldwl[9]"
 color="4 5 4 5 4 5 4 5 4 5 4"  
 unitx=n 
-hilight_wave=3}
+hilight_wave=3
+jpeg_quality=25}
 B 2 1840 -1000 2890 -540 {flags=graph
 digital=1
 y1 = 0
@@ -94,8 +95,8 @@ y2 = 1.6
 ypos1=0.0990096
 ypos2=2.81842
 divy = 1
-x1=100n
-x2=400n
+x1=1.30906e-07
+x2=2.4887e-07
 divx=12
 subdivx=4
 node="---In/Out---
@@ -118,13 +119,13 @@ WL[15:0];ldwl[15],ldwl[14],ldwl[13],ldwl[12],ldwl[11],ldwl[10],ldwl[9],ldwl[8],l
 color="18 4 15 4 15 4 15 4 18 15 4 18 4 15 4 15 6"
  unitx=n
  ypos1=-2.20115 ypos2=2.79884
-}
+jpeg_quality=25}
 B 2 1840 -1300 2890 -1160 {flags=graph
 y1 = 0
 y2 = 1.60
 divy = 4
-x1=100n
-x2=400n
+x1=1.30906e-07
+x2=2.4887e-07
 divx=8
 unitx=n
 node="xsa[0].ldqib
@@ -132,13 +133,13 @@ xsa[5].ldqib
 xsa[0].ldsali
 xctrl.ldq_b"
 color="4 12 7 10"
-}
+jpeg_quality=25}
 B 2 1840 -240 2890 0 {flags=graph
 y1 = -0.049
 y2 = 0.00057
 divy = 5
-x1=100n
-x2=400n  
+x1=1.30906e-07
+x2=2.4887e-07  
 unity=m
 divx=10
 subdivx=1
@@ -147,12 +148,14 @@ node="\\"Supply current;i(vvcc)\\"
 color="8 7"
 unitx=n
 subdivy=4
-}
+jpeg_quality=25}
 B 2 480 -1010 617 -950 {flags=image
 alpha=0.6
+InvertOnExport=true
 image_data=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}
 B 7 950 -250 980 -80 {}