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  2. Huffman coding - Wikipedia

    en.wikipedia.org/wiki/Huffman_coding

    In computer science and information theory, a Huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression.The process of finding or using such a code is Huffman coding, an algorithm developed by David A. Huffman while he was a Sc.D. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes".

  3. Package-merge algorithm - Wikipedia

    en.wikipedia.org/wiki/Package-merge_algorithm

    The optimal length-limited Huffman code will encode symbol i with a bit string of length h i. The canonical Huffman code can easily be constructed by a simple bottom-up greedy method, given that the h i are known, and this can be the basis for fast data compression. [2]

  4. Deflate - Wikipedia

    en.wikipedia.org/wiki/DEFLATE

    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. Deflate was later specified in RFC 1951 (1996). [3]

  5. Canonical Huffman code - Wikipedia

    en.wikipedia.org/wiki/Canonical_Huffman_code

    In computer science and information theory, a canonical Huffman code is a particular type of Huffman code with unique properties which allow it to be described in a very compact manner. Rather than storing the structure of the code tree explicitly, canonical Huffman codes are ordered in such a way that it suffices to only store the lengths of ...

  6. Group 4 compression - Wikipedia

    en.wikipedia.org/wiki/Group_4_compression

    Group 4 compression is based on the Group 3 two-dimensional compression scheme (G3-2D), also known as Modified READ, which is in turn based on the Group 3 one-dimensional compression scheme (G3), also known as Modified Huffman coding. Group 4 compression is available in many proprietary image file formats as well as standardized formats such as ...

  7. Move-to-front transform - Wikipedia

    en.wikipedia.org/wiki/Move-to-front_transform

    Details of implementation are important for performance, particularly for decoding. For encoding, no clear advantage is gained by using a linked list , so using an array to store the list is acceptable, with worst-case performance O ( n k ), where n is the length of the data to be encoded and k is the number of values (generally a constant for ...

  8. List of archive formats - Wikipedia

    en.wikipedia.org/wiki/List_of_archive_formats

    An implementation of the LZO data compression algorithm. .rz rzip: Unix-like A compression program designed to do particularly well on very large files containing long distance redundancy. .sfark sfArk: Windows compress/decompress- Linux and macOS decompress only A compression program designed to do high compression on SF2 files . .sz

  9. Lempel–Ziv–Markov chain algorithm - Wikipedia

    en.wikipedia.org/wiki/Lempel–Ziv–Markov_chain...

    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 ]