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In computing, Deflate (stylized as DEFLATE, and also called Flate [1] [2]) is a lossless data compression file format that uses a combination of LZ77 and Huffman coding. It was designed by Phil Katz , for version 2 of his PKZIP archiving tool.
These two algorithms form the basis for many variations including LZW, LZSS, LZMA and others. Besides their academic influence, these algorithms formed the basis of several ubiquitous compression schemes, including GIF and the DEFLATE algorithm used in PNG and ZIP. They are both theoretically dictionary coders. LZ77 maintains a sliding window ...
Because of its significantly slower compression speed, Zopfli is not suited for on-the-fly compression. It is typically used for one-time compression of static content. [7] [8] This is typically true for web content that is served with Deflate-based HTTP compression or web content in a Deflate-based file format such as PNG or WOFF font files. [9]
Genetics compression algorithms are the latest generation of lossless algorithms that compress data (typically sequences of nucleotides) using both conventional compression algorithms and genetic algorithms adapted to the specific datatype. In 2012, a team of scientists from Johns Hopkins University published a genetic compression algorithm ...
Zstandard was designed to give a compression ratio comparable to that of the DEFLATE algorithm (developed in 1991 and used in the original ZIP and gzip programs), but faster, especially for decompression. It is tunable with compression levels ranging from negative 7 (fastest) [6] to 22 (slowest in compression speed, but best compression ratio).
Compression algorithm Raster/ vector Maximum Color depth. Indexed color Trans-parency. Meta-data. Inter-lacing. Multi-page Anima-tion Layers Color manage-ment Extend- able HDR format CMYK; AI: Lossy and lossless Both 8 bpc Yes Yes Yes No Yes No Yes Yes — No AVIF: AV1 Lossy and lossless: Raster 12 bpc No Yes Yes No No Yes No Yes Yes Yes No ...