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  2. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    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] By contrast, lossy compression permits reconstruction only of an approximation of ...

  3. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    Data compression. In information theory, data compression, source coding, [1] or bit-rate reduction is the process of encoding information using fewer bits than the original representation. [2] Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy.

  4. Lempel–Ziv–Welch - Wikipedia

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

    Lempel–Ziv–Welch. Lempel–Ziv–Welch (LZW) is a universal lossless data compression algorithm created by Abraham Lempel, Jacob Ziv, and Terry Welch. It was published by Welch in 1984 as an improved implementation of the LZ78 algorithm published by Lempel and Ziv in 1978. The algorithm is simple to implement and has the potential for very ...

  5. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    This is an accepted version of this page This is the latest accepted revision, reviewed on 30 October 2024. Portable Document Format, a digital file format For other uses, see PDF (disambiguation). Portable Document Format Adobe PDF icon Filename extension.pdf Internet media type application/pdf, application/x-pdf application/x-bzpdf application/x-gzpdf Type code PDF (including a single ...

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  7. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content. Higher degrees of approximation create coarser ...

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