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optimisation of the Huffman coding layer of a JPEG file to increase compression, conversion between progressive and sequential JPEG formats, conversion between Huffman and arithmetic coding in the entropy coding layer. [5] [6] [7] These transformations are each completely lossless and reversible. The transformations on the image data comprise:
LZMA2 compression, which is an improved version of LZMA, [13] is now the default compression method for the .7z format, starting with version 9.30 on October 26, 2012. [ 14 ] The reference open source LZMA compression library was originally written in C++ but has been ported to ANSI C , C# , and Java . [ 11 ]
Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy . [ 1 ]
TIFF also offers special-purpose lossless compression algorithms like CCITT Group IV, which can compress bilevel images (e.g., faxes or black-and-white text) better than PNG's compression algorithm. PNG supports non-premultiplied alpha only [ 34 ] whereas TIFF also supports "associated" (premultiplied) alpha.
In JPEG, 4:4:2 and 4:2:1 half the vertical resolution of Cb compared to 4:4:4 and 4:4:0. [19] In another version of 4:2:1, Cb horizontal resolution is half that of Cr (and a quarter of the horizontal resolution of Y). 4:1:0.5 or 4:1:0.25 are variants of 4:1:0 with reduced horizontal resolution on Cb, similar to VHS quality.
Lossy compression formats: Most audio formats use lossy compression, to produce as small as possible a file compatible with the desired sound quality. There is a trade-off between size and sound quality of lossily compressed files; most formats allow different combinations—e.g., MP3 files may use between 32 (worst), 128 (reasonable) and 320 ...