libjpeg-turbo: update to 2.1.x rev 0734e34f6

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roytam1 2024-10-11 12:01:54 +08:00
commit 19dc62b0a2
139 changed files with 989 additions and 962 deletions

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