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windows:mingw:win32
mingw32-libjpeg-turbo
mingw32-libjpeg-turbo.changes
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File mingw32-libjpeg-turbo.changes of Package mingw32-libjpeg-turbo
------------------------------------------------------------------- Thu Feb 15 20:59:24 UTC 2024 - Ralf Habacker <ralf.habacker@freenet.de> - Removed providing of mingw32-libjpeg-devel to fix the mingw32-imagemagick build issue, that incorrectly selects this package. The use of this package can be selected by using mingw32-libjpeg8-devel. ------------------------------------------------------------------- Mon Feb 5 19:25:12 UTC 2024 - Martin Hauke <mardnh@gmx.de> - Update URL - Update Source URL: sf.net -> github.com - Update to version 3.0.2 * Fixed a signed integer overflow in the tj3CompressFromYUV8(), tj3DecodeYUV8(), tj3DecompressToYUV8(), and tj3EncodeYUV8() functions, detected by the Clang and GCC undefined behavior sanitizers, that could be triggered by setting the align parameter to an unreasonably large value. This issue did not pose a security threat, but removing the warning made it easier to detect actual security issues, should they arise in the future. * Introduced a new parameter (TJPARAM_MAXMEMORY in the TurboJPEG C API and TJ.PARAM_MAXMEMORY in the TurboJPEG Java API) and a corresponding TJBench option (-maxmemory) for specifying the maximum amount of memory (in megabytes) that will be allocated for intermediate buffers, which are used with progressive JPEG compression and decompression, optimized baseline entropy coding, lossless JPEG compression, and lossless transformation. The new parameter and option serve the same purpose as the max_memory_to_use field in the jpeg_memory_mgr struct in the libjpeg API, the JPEGMEM environment variable, and the cjpeg/djpeg/jpegtran -maxmemory option. * Introduced a new parameter (TJPARAM_MAXPIXELS in the TurboJPEG C API and TJ.PARAM_MAXPIXELS in the TurboJPEG Java API) and a corresponding TJBench option (-maxpixels) for specifying the maximum number of pixels that the decompression, lossless transformation, and packed-pixel image loading functions/methods will process. * Fixed an error ("Unsupported color conversion request") that occurred when attempting to decompress a 3-component lossless JPEG image without an Adobe APP14 marker. The decompressor now assumes that a 3-component lossless JPEG image without an Adobe APP14 marker uses the RGB colorspace if its component IDs are 1, 2, and 3. - Update to version 3.0.1 * The x86-64 SIMD functions now use a standard stack frame, prologue, and epilogue so that debuggers and profilers can reliably capture backtraces from within the functions. * Fixed two minor issues in the interblock smoothing algorithm that caused mathematical (but not necessarily perceptible) edge block errors when decompressing progressive JPEG images exactly two MCU blocks in width or that use vertical chrominance subsampling. * The TurboJPEG API now supports 4:4:1 (transposed 4:1:1) chrominance subsampling, which allows losslessly transposed or rotated 4:1:1 JPEG images to be losslessly cropped, partially decompressed, or decompressed to planar YUV images. * Fixed various segfaults and buffer overruns (CVE-2023-2804) * that occurred when attempting to decompress various specially-crafted malformed 12-bit-per-component and 16-bit-per-component lossless JPEG images using color quantization or merged chroma upsampling/color conversion. The underlying cause of these issues was that the color quantization and merged chroma upsampling/color conversion algorithms were not designed with lossless decompression in mind. Since libjpeg-turbo explicitly does not support color conversion when compressing or decompressing lossless JPEG images, merged chroma upsampling/color conversion never should have been enabled for such images. Color quantization is a legacy feature that serves little or no purpose with lossless JPEG images, so it is also now disabled when decompressing such images. (As a result, djpeg can no longer decompress a lossless JPEG image into a GIF image.) * Fixed an oversight in 1.4 beta1[8] that caused various segfaults and buffer overruns when attempting to decompress various specially-crafted malformed 12-bit-per-component JPEG images using djpeg with both color quantization and RGB565 color conversion enabled. * Fixed an issue whereby `jpeg_crop_scanline()` sometimes miscalculated the downsampled width for components with 4x2 or 2x4 subsampling factors if decompression scaling was enabled. This caused the components to be upsampled incompletely, which caused the color converter to read from uninitialized memory. With 12-bit data precision, this caused a buffer overrun or underrun and subsequent segfault if the sample value read from uninitialized memory was outside of the valid sample range. * Fixed a long-standing issue whereby the `tj3Transform()` function, when used with the `TJXOP_TRANSPOSE`, `TJXOP_TRANSVERSE`, `TJXOP_ROT90`, or `TJXOP_ROT270` transform operation and without automatic JPEG destination buffer (re)allocation or lossless cropping, computed the worst-case transformed JPEG image size based on the source image dimensions rather than the transformed image dimensions. If a calling program allocated the JPEG destination buffer based on the transformed image dimensions, as the API documentation instructs, and attempted to transform a specially-crafted 4:2:2, 4:4:0, 4:1:1, or 4:4:1 JPEG source image containing a large amount of metadata, the issue caused `tj3Transform()` to overflow the JPEG destination buffer rather than fail gracefully. The issue could be worked around by setting `TJXOPT_COPYNONE`. Note that, irrespective of this issue, `tj3Transform()` cannot reliably transform JPEG source images that contain a large amount of metadata unless automatic JPEG destination buffer (re)allocation is used or `TJXOPT_COPYNONE` is set. * Significantly sped up the computation of optimal Huffman tables. This speeds up the compression of tiny images by as much as 2x and provides a noticeable speedup for images as large as 256x256 when using optimal Huffman tables. * All deprecated fields, constructors, and methods in the TurboJPEG Java API have been removed. * Arithmetic entropy coding is now supported with 12-bit-per-component JPEG images. * Overhauled the TurboJPEG API to address long-standing limitations and to make the API more extensible and intuitive. ------------------------------------------------------------------- Thu Jun 15 11:28:18 UTC 2023 - Martin Hauke <mardnh@gmx.de> - Update to version 2.1.5.1 * lots of changes since 1.4.0 * use cmake instead of autotools for building * drop not longer needed patches: + jpeg-typedef-boolean.diff + libjpeg-1.4.0-ocloexec.patch + libjpeg-turbo-1.4.0-int32.patch + libjpeg-turbo-remove-test.patch
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