mirror of
https://github.com/CloverHackyColor/CloverBootloader.git
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286f7c643f
When this option is enabled all png images will be converted to PNG-8 (8 bit per pixel).
66 lines
2.1 KiB
Plaintext
66 lines
2.1 KiB
Plaintext
version 2.12
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- new liq_histogram_add_fixed_color()
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- faster for large/complex images
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- workarounds for Microsoft's outdated C compiler
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version 2.11
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- new liq_image_set_background() for high-quality remapping of GIF frames
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- new liq_image_set_importance_map() for controlling which parts of the image get more palette colors
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- improved OpenMP support
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version 2.10
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-----------
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- supports building with Rust/Cargo
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version 2.9
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- new liq_histogram_add_colors()
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version 2.8
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- standalone version
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- added Java interface (JNI)
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- new API for remapping multiple images to a single shared palette
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version 2.7
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- improved dithering of saturated and semitransparent colors
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- libimagequant reports detailed progress and supports aborting of operations via callbacks
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- fixed order of log output when using openmp
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version 2.5
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- replaced color search algorithm with vantage point tree, which is much faster and more reliable
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- deprecated IE6 workaround
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- warn when compiled without color profile support
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- improved support for predefined colors in libimagequant
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version 2.4
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- fixed remapping of bright colors when dithering
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- added libimagequant API to add fixed preset colors to the palette
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version 2.3
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- added ./configure script for better support of Intel C compiler and dependencies [thanks to pdknsk]
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- tweaked quality metric to better estimate quality of images with large solid backgrounds [thanks to Rolf Timmermans]
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- avoid applying quality setting to images that use palette already
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version 2.2
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- OpenMP acceleration
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- improved support for Intel C Compiler, speedup in 32-bit GCC, and some workarounds for Visual Studio's incomplete C support
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version 2.1
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- option to generate posterized output (for use with 16-bit textures)
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version 2.0
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- refactored codebase into pngquant and standalone libimagequant
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- reduced memory usage by further 30% (and more for very large images)
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- less precise remapping improving speed by 25% in higher speed settings
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- fixed regression in dithering of alpha channel
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