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libjpeg-turbo: update to 2.1.x rev 0734e34f6
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@ -21,7 +21,9 @@ derivative of libjpeg v6b developed by Miyasaka Masaru. The TigerVNC and
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VirtualGL projects made numerous enhancements to the codec in 2009, and in
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early 2010, libjpeg-turbo spun off into an independent project, with the goal
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of making high-speed JPEG compression/decompression technology available to a
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broader range of users and developers.
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broader range of users and developers. libjpeg-turbo is an ISO/IEC and ITU-T
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reference implementation of the JPEG standard.
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License
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@ -52,7 +54,8 @@ JPEG images:
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top of the TurboJPEG API. The TurboJPEG API is recommended for first-time
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users of libjpeg-turbo. Refer to [tjexample.c](tjexample.c) and
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[TJExample.java](java/TJExample.java) for examples of its usage and to
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<http://libjpeg-turbo.org/Documentation/Documentation> for API documentation.
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<https://libjpeg-turbo.org/Documentation/Documentation> for API
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documentation.
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- **libjpeg API**<br>
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This is the de facto industry-standard API for compressing and decompressing
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@ -180,7 +183,7 @@ supported and which aren't.
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NOTE: As of this writing, extensive research has been conducted into the
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usefulness of DCT scaling as a means of data reduction and SmartScale as a
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means of quality improvement. Readers are invited to peruse the research at
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<http://www.libjpeg-turbo.org/About/SmartScale> and draw their own conclusions,
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<https://libjpeg-turbo.org/About/SmartScale> and draw their own conclusions,
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but it is the general belief of our project that these features have not
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demonstrated sufficient usefulness to justify inclusion in libjpeg-turbo.
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@ -274,30 +277,35 @@ Mathematical Compatibility
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==========================
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For the most part, libjpeg-turbo should produce identical output to libjpeg
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v6b. The one exception to this is when using the floating point DCT/IDCT, in
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which case the outputs of libjpeg v6b and libjpeg-turbo can differ for the
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following reasons:
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v6b. There are two exceptions:
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- The SSE/SSE2 floating point DCT implementation in libjpeg-turbo is ever so
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slightly more accurate than the implementation in libjpeg v6b, but not by
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any amount perceptible to human vision (generally in the range of 0.01 to
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0.08 dB gain in PNSR.)
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1. When decompressing a JPEG image that uses 4:4:0 chrominance subsampling, the
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outputs of libjpeg v6b and libjpeg-turbo can differ because libjpeg-turbo
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implements a "fancy" (smooth) 4:4:0 upsampling algorithm and libjpeg did not.
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- When not using the SIMD extensions, libjpeg-turbo uses the more accurate
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(and slightly faster) floating point IDCT algorithm introduced in libjpeg
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v8a as opposed to the algorithm used in libjpeg v6b. It should be noted,
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however, that this algorithm basically brings the accuracy of the floating
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point IDCT in line with the accuracy of the accurate integer IDCT. The
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floating point DCT/IDCT algorithms are mainly a legacy feature, and they do
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not produce significantly more accuracy than the accurate integer algorithms
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(to put numbers on this, the typical difference in PNSR between the two
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algorithms is less than 0.10 dB, whereas changing the quality level by 1 in
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the upper range of the quality scale is typically more like a 1.0 dB
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difference.)
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2. When using the floating point DCT/IDCT, the outputs of libjpeg v6b and
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libjpeg-turbo can differ for the following reasons:
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- If the floating point algorithms in libjpeg-turbo are not implemented using
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SIMD instructions on a particular platform, then the accuracy of the
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floating point DCT/IDCT can depend on the compiler settings.
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- The SSE/SSE2 floating point DCT implementation in libjpeg-turbo is ever
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so slightly more accurate than the implementation in libjpeg v6b, but not
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by any amount perceptible to human vision (generally in the range of 0.01
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to 0.08 dB gain in PNSR.)
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- When not using the SIMD extensions, libjpeg-turbo uses the more accurate
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(and slightly faster) floating point IDCT algorithm introduced in libjpeg
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v8a as opposed to the algorithm used in libjpeg v6b. It should be noted,
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however, that this algorithm basically brings the accuracy of the
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floating point IDCT in line with the accuracy of the accurate integer
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IDCT. The floating point DCT/IDCT algorithms are mainly a legacy
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feature, and they do not produce significantly more accuracy than the
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accurate integer algorithms. (To put numbers on this, the typical
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difference in PNSR between the two algorithms is less than 0.10 dB,
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whereas changing the quality level by 1 in the upper range of the quality
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scale is typically more like a 1.0 dB difference.)
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- If the floating point algorithms in libjpeg-turbo are not implemented
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using SIMD instructions on a particular platform, then the accuracy of
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the floating point DCT/IDCT can depend on the compiler settings.
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While libjpeg-turbo does emulate the libjpeg v8 API/ABI, under the hood it is
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still using the same algorithms as libjpeg v6b, so there are several specific
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