Showing 4 open source projects for "lossless"

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  • 1
    LZ4

    LZ4

    Extremely fast compression algorithm

    LZ4 is lossless compression algorithm, providing compression speed > 500 MB/s per core (>0.15 Bytes/cycle). It features an extremely fast decoder, with speed in multiple GB/s per core (~1 Byte/cycle). A high compression derivative, called LZ4_HC, is available, trading customizable CPU time for compression ratio. LZ4 library is provided as open-source software using a BSD license.
    Downloads: 290 This Week
    Last Update:
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  • 2
    libPGF

    libPGF

    libPGF is an implementation of the Progressive Graphics File (PGF)

    The Progressive Graphics File (PGF) is an efficient image file format, that is based on a fast, discrete wavelet transform with progressive coding features. PGF can be used for lossless and lossy compression. It's most suitable for natural images. PGF can be used as a very efficient and fast replacement of JPEG 2000.
    Downloads: 24 This Week
    Last Update:
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  • 3
    lzhw

    lzhw

    LZHW Windows command line lossless compression tool for tabular files

    LZHW Command Line Lossless Compression Tool is a Windows command line tool used to compress and decompress files from and to any form, csv, excel etc without any dependencies or installations. Using an optimized algorithm (LZHW) developed from Lempel-Ziv, Huffman and LZ-Welch algorithms. The tool can work in parallel and most of its code is written in Cython, so it is pretty fast.
    Downloads: 0 This Week
    Last Update:
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  • 4

    intzip

    Fast compression of integer sets.

    IntZip is a lossless compression algorithm for strictly increasing lists of unsigned integers. Compression means that a suitable list of integers can be encoded to a (whenever possible) shorter list of the same integer format. An arbitrary set of integers (i.e., a collection of unique numbers where the order does not matter) may be transformed into suitable input data by way of translation and sorting.
    Downloads: 0 This Week
    Last Update:
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