README.md: Mention 4:4:0 math. incomp. vs. jpeg-6b
libjpeg-turbo implements 4:4:0 "fancy" (smooth) upsampling, which is enabled by default when decompressing JPEG images that use 4:4:0 chrominance subsampling. libjpeg did not and does not implement fancy 4:4:0 upsampling.
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README.md
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README.md
@@ -283,30 +283,35 @@ 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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