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  2. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    Lossy data compression schemes are designed by research on how people perceive the data in question. For example, the human eye is more sensitive to subtle variations in luminance than it is to the variations in color. JPEG image compression works in part by rounding off nonessential bits of information. [15]

  3. 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]

  4. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    While data reduction (compression, be it lossy or lossless) is a main goal of transform coding, it also allows other goals: one may represent data more accurately for the original amount of space [5] – for example, in principle, if one starts with an analog or high-resolution digital master, an MP3 file of a given size should provide a better ...

  5. Category:Data compression - Wikipedia

    en.wikipedia.org/wiki/Category:Data_compression

    Articles relating to data compression, the process of encoding information using fewer bits than the original representation. Subcategories This category has the following 9 subcategories, out of 9 total.

  6. 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".

  7. Arithmetic coding - Wikipedia

    en.wikipedia.org/wiki/Arithmetic_coding

    Compression algorithms that use arithmetic coding start by determining a model of the data – basically a prediction of what patterns will be found in the symbols of the message. The more accurate this prediction is, the closer to optimal the output will be.

  8. Run-length encoding - Wikipedia

    en.wikipedia.org/wiki/Run-length_encoding

    Run-length encoding (RLE) is a form of lossless data compression in which runs of data (consecutive occurrences of the same data value) are stored as a single occurrence of that data value and a count of its consecutive occurrences, rather than as the original run. As an imaginary example of the concept, when encoding an image built up from ...

  9. 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