Official binaries and source tarball are available at:
https://sourceforge.net/projects/libjpeg-turbo/files/2.0.90%20%282.1%20beta1%29/

Release sponsors

This release was made possible via a generous grant from Google.

Significant changes relative to 2.0.6:

1. The build system, x86-64 SIMD extensions, and accelerated Huffman codec now support the x32 ABI on Linux, which allows for using x86-64 instructions with 32-bit pointers. The x32 ABI is generally enabled by adding -mx32 to the compiler flags.

   Caveats:

   • CMake 3.9.0 or later is required in order for the build system to automatically detect an x32 build.
   • Java does not support the x32 ABI, and thus the TurboJPEG Java API will automatically be disabled with x32 builds.

2. Added Loongson MMI SIMD implementations of the RGB-to-grayscale, 4:2:2 fancy chroma upsampling, 4:2:2 and 4:2:0 merged chroma upsampling/color conversion, and fast integer DCT/IDCT algorithms. Relative to libjpeg-turbo 2.0.x, this speeds up:

   • the compression of RGB source images into grayscale JPEG images by approximately 20%
   • the decompression of 4:2:2 JPEG images by approximately 40-60% when using fancy upsampling
   • the decompression of 4:2:2 and 4:2:0 JPEG images by approximately 15-20% when using merged upsampling
   • the compression of RGB source images by approximately 30-45% when using the fast integer DCT
   • the decompression of JPEG images into RGB destination images by approximately 2x when using the fast integer IDCT

   The overall decompression speedup for RGB images is now approximately 2.3-3.7x (compared to 2-3.5x with libjpeg-turbo 2.0.x.)

3. 32-bit (Armv7 or Armv7s) iOS builds of libjpeg-turbo are no longer supported, and the libjpeg-turbo build system can no longer be used to package such builds. 32-bit iOS apps cannot run in iOS 11 and later, and the App Store no longer allows them.

4. 32-bit (i386) OS X/macOS builds of libjpeg-turbo are no longer supported, and the libjpeg-turbo build system can no longer be used to package such builds. 32-bit Mac applications cannot run in macOS 10.15 "Catalina" and later, and the App Store no longer allows them.

5. The SSE2 (x86 SIMD) and C Huffman encoding algorithms have been significantly optimized, resulting in a measured average overall compression speedup of 12-28% for 64-bit code and 22-52% for 32-bit code on various Intel and AMD CPUs, as well as a measured average overall compression speedup of 0-23% on platforms that do not have a SIMD-accelerated Huffman encoding implementation.

6. The block smoothing algorithm that is applied by default when decompressing progressive Huffman-encoded JPEG images has been improved in the following ways:

   • The algorithm is now more fault-tolerant. Previously, if a particular scan was incomplete, then the smoothing parameters for the incomplete scan would be applied to the entire output image, including the parts of the image that were generated by the prior (complete) scan. Visually, this had the effect of removing block smoothing from lower-frequency scans if they were followed by an incomplete higher-frequency scan. libjpeg-turbo now applies block smoothing parameters to each iMCU row based on which scan generated the pixels in that row, rather than always using the block smoothing parameters for the most recent scan.
   • When applying block smoothing to DC scans, a Gaussian-like kernel with a 5x5 window is used to reduce the "blocky" appearance.

7. Added SIMD acceleration for progressive Huffman encoding on Arm platforms. This speeds up the compression of full-color progressive JPEGs by about 30-40% on average (relative to libjpeg-turbo 2.0.x) when using modern Arm CPUs.

8. Added configure-time and run-time auto-detection of Loongson MMI SIMD instructions, so that the Loongson MMI SIMD extensions can be included in any MIPS64 libjpeg-turbo build.

9. Added fault tolerance features to djpeg and jpegtran, mainly to demonstrate methods by which applications can guard against the exploits of the JPEG format described in the report "Two Issues with the JPEG Standard".

   • Both programs now accept a -maxscans argument, which can be used to limit the number of allowable scans in the input file.
   • Both programs now accept a -strict argument, which can be used to treat all warnings as fatal.

10. CMake package config files are now included for both the libjpeg and TurboJPEG API libraries. This facilitates using libjpeg-turbo with CMake's find_package() function. For example:

    find_package(libjpeg-turbo CONFIG REQUIRED)
    
    add_executable(libjpeg_program libjpeg_program.c)
    target_link_libraries(libjpeg_program PUBLIC libjpeg-turbo::jpeg)
    
    add_executable(libjpeg_program_static libjpeg_program.c)
    target_link_libraries(libjpeg_program_static PUBLIC
      libjpeg-turbo::jpeg-static)
    
    add_executable(turbojpeg_program turbojpeg_program.c)
    target_link_libraries(turbojpeg_program PUBLIC
      libjpeg-turbo::turbojpeg)
    
    add_executable(turbojpeg_program_static turbojpeg_program.c)
    target_link_libraries(turbojpeg_program_static PUBLIC
      libjpeg-turbo::turbojpeg-static)
    

11. Since the Unisys LZW patent has long expired, cjpeg and djpeg can now read/write both LZW-compressed and uncompressed GIF files (feature ported from jpeg-6a and jpeg-9d.)

12. jpegtran now includes the -wipe and -drop options from jpeg-9a and jpeg-9d, as well as the ability to expand the image size using the -crop option. Refer to jpegtran.1 or usage.txt for more details.

13. Added a complete intrinsics implementation of the Arm Neon SIMD extensions, thus providing SIMD acceleration on Arm platforms for all of the algorithms that are SIMD-accelerated on x86 platforms. This new implementation is significantly faster in some cases than the old GAS implementation-- depending on the algorithms used, the type of CPU core, and the compiler. GCC, as of this writing, does not provide a full or optimal set of Neon intrinsics, so for performance reasons, the default when building libjpeg-turbo with GCC is to continue using the GAS implementation of the following algorithms:

    • 32-bit RGB-to-YCbCr color conversion
    • 32-bit fast and accurate inverse DCT
    • 64-bit RGB-to-YCbCr and YCbCr-to-RGB color conversion
    • 64-bit accurate forward and inverse DCT
    • 64-bit Huffman encoding

    A new CMake variable (NEON_INTRINSICS) can be used to override this default.

    Since the new intrinsics implementation includes SIMD acceleration for merged upsampling/color conversion, 1.5.1[5] is no longer necessary and has been reverted.

14. The Arm Neon SIMD extensions can now be built using Visual Studio.

15. The build system can now be used to generate a universal x86-64 + Armv8 libjpeg-turbo SDK package for both iOS and macOS.