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  2. Arithmetic coding - Wikipedia

    en.wikipedia.org/wiki/Arithmetic_coding

    Arithmetic coding (AC) is a form of entropy encoding used in lossless data compression.Normally, a string of characters is represented using a fixed number of bits per character, as in the ASCII code.

  3. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    Arithmetic coding is a more modern coding technique that uses the mathematical calculations of a finite-state machine to produce a string of encoded bits from a series of input data symbols. It can achieve superior compression compared to other techniques such as the better-known Huffman algorithm.

  4. Asymmetric numeral systems - Wikipedia

    en.wikipedia.org/wiki/Asymmetric_numeral_systems

    ANS combines the compression ratio of arithmetic coding (which uses a nearly accurate probability distribution), with a processing cost similar to that of Huffman coding. In the tabled ANS (tANS) variant, this is achieved by constructing a finite-state machine to operate on a large alphabet without using multiplication.

  5. 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".

  6. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    Lossless data compression is used in many applications. For example, it is used in the ZIP file format and in the GNU tool gzip. It is also often used as a component within lossy data compression technologies (e.g. lossless mid/side joint stereo preprocessing by MP3 encoders and other lossy audio encoders). [2]

  7. Context-adaptive binary arithmetic coding - Wikipedia

    en.wikipedia.org/wiki/Context-adaptive_binary...

    Context-adaptive binary arithmetic coding (CABAC) is a form of entropy encoding used in the H.264/MPEG-4 AVC [1] [2] and High Efficiency Video Coding (HEVC) standards. It is a lossless compression technique, although the video coding standards in which it is used are typically for lossy compression applications.

  8. LZ77 and LZ78 - Wikipedia

    en.wikipedia.org/wiki/LZ77_and_LZ78

    To spot matches, the encoder must keep track of some amount of the most recent data, such as the last 2 KB, 4 KB, or 32 KB. The structure in which this data is held is called a sliding window, which is why LZ77 is sometimes called sliding-window compression. The encoder needs to keep this data to look for matches, and the decoder needs to keep ...

  9. Category:Data compression - Wikipedia

    en.wikipedia.org/wiki/Category:Data_compression

    Code-excited linear prediction; Codec; List of codecs; Coding tree unit; Color space; Companding; Comparison of video codecs; Compressed data structure; Compressed pattern matching; Compressed suffix array; Compression artifact; Constant bitrate; Context mixing; Context tree weighting; Context-adaptive binary arithmetic coding; CRIME; Curve ...