Files
mozjpeg/java
DRC 51d021bf01 TurboJPEG: Fix 12-bit-per-sample arith-coded compr
(Regression introduced by 7bb958b732)

Because of 7bb958b732, the TurboJPEG
compression and encoding functions no longer transfer the value of
TJPARAM_OPTIMIZE into cinfo->data_precision unless the data precision
is 8.  The intent of that was to prevent using_std_huff_tables() from
being called more than once when reusing the same compressor object to
generate multiple 12-bit-per-sample JPEG images.  However, because
cinfo->optimize_coding is always set to TRUE by jpeg_set_defaults() if
the data precision is 12, calling applications that use 12-bit data
precision had to unset cinfo->optimize_coding if they set
cinfo->arith_code after calling jpeg_set_defaults().  Because of
7bb958b732, the TurboJPEG API stopped
doing that except with 8-bit data precision.  Thus, attempting to
generate a 12-bit-per-sample arithmetic-coded lossy JPEG image using
the TurboJPEG API failed with "Requested features are incompatible."

Since the compressor will always fail if cinfo->arith_code and
cinfo->optimize_coding are both set, and since cinfo->optimize_coding
has no relevance for arithmetic coding, the most robust and user-proof
solution is for jinit_c_master_control() to set cinfo->optimize_coding
to FALSE if cinfo->arith_code is TRUE.

This commit also:
- modifies TJBench so that it no longer reports that it is using
  optimized baseline entropy coding in modes where that setting
  is irrelevant,
- amends the cjpeg documentation to clarify that -optimize is implied
  when specifying -progressive or '-precision 12' without -arithmetic,
  and
- prevents jpeg_set_defaults() from uselessly checking the value of
  cinfo->arith_code immediately after it has been set to FALSE.
2024-06-24 22:15:55 -04:00
..
2024-06-24 22:11:43 -04:00

TurboJPEG Java Wrapper
======================

The TurboJPEG shared library can optionally be built with a Java Native
Interface wrapper, which allows the library to be loaded and used directly from
Java applications.  The Java front end for this is defined in several classes
located under org/libjpegturbo/turbojpeg.  The source code for these Java
classes is licensed under a BSD-style license, so the files can be incorporated
directly into both open source and proprietary projects without restriction.  A
Java archive (JAR) file containing these classes is also shipped with the
"official" distribution packages of libjpeg-turbo.

TJExample.java, which should also be located in the same directory as this
README file, demonstrates how to use the TurboJPEG Java API to compress and
decompress JPEG images in memory.


Performance Pitfalls
--------------------

The TurboJPEG Java API defines several convenience methods that can allocate
image buffers or instantiate classes to hold the result of compress,
decompress, or transform operations.  However, if you use these methods, then
be mindful of the amount of new data you are creating on the heap.  It may be
necessary to manually invoke the garbage collector to prevent heap exhaustion
or to prevent performance degradation.  Background garbage collection can kill
performance, particularly in a multi-threaded environment (Java pauses all
threads when the GC runs.)

The TurboJPEG Java API always gives you the option of pre-allocating your own
source and destination buffers, which allows you to re-use those buffers for
compressing/decompressing multiple images.  If the image sequence you are
compressing or decompressing consists of images of the same size, then
pre-allocating the buffers is recommended.


Installation Directory
----------------------

The TurboJPEG Java Wrapper will look for the TurboJPEG JNI library
(libturbojpeg.so, libturbojpeg.dylib, or turbojpeg.dll) in the system library
paths or in any paths specified in LD_LIBRARY_PATH (Un*x), DYLD_LIBRARY_PATH
(Mac), or PATH (Windows.)  Failing this, on Un*x and Mac systems, the wrapper
will look for the JNI library under the library directory configured when
libjpeg-turbo was built.  If that library directory is
/opt/libjpeg-turbo/lib32, then /opt/libjpeg-turbo/lib64 is also searched, and
vice versa.

If you installed the JNI library into another directory, then you will need
to pass an argument of -Djava.library.path={path_to_JNI_library} to java, or
manipulate LD_LIBRARY_PATH, DYLD_LIBRARY_PATH, or PATH to include the directory
containing the JNI library.