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  2. Display Stream Compression - Wikipedia

    en.wikipedia.org/wiki/Display_Stream_Compression

    DSC compression works on a horizontal line of pixels encoded using groups of three consecutive pixels for native 4:4:4 and simple 4:2:2 formats, or six pixels (three compressed containers) for native 4:2:2 and 4:2:0 formats. [7] Preprocessing: If RGB encoding is used, it is first converted to reversible YC G C O.

  3. JPEG XS - Wikipedia

    en.wikipedia.org/wiki/JPEG_XS

    A second edition was published in 2022, [26] adding support for direct compression of raw CFA Bayer content, lossless compression, and support for 4:2:0 color subsampling. Today, the JPEG committee is still actively working on further improvements to XS, with the third edition published in 2024.

  4. Huffyuv - Wikipedia

    en.wikipedia.org/wiki/Huffyuv

    Huffyuv (or HuffYUV) is a lossless video codec created by Ben Rudiak-Gould which is meant to replace uncompressed YCbCr as a video capture format. The codec can also compress in the RGB color space. "Lossless" means that the output from the decompressor is bit-for-bit identical with the original input to the compressor.

  5. TICO (codec) - Wikipedia

    en.wikipedia.org/wiki/TICO_(codec)

    The TICO codec, an abbreviation for "Tiny Codec," [1] is a video compression technology created to facilitate the transmission of high-resolution video over existing network infrastructures, including both IP networks and SDI infrastructures, the result appears visually lossless. TICO codec was represented in 2013 by the Belgian company intoPIX.

  6. Lagarith - Wikipedia

    en.wikipedia.org/wiki/Lagarith

    Lagarith is an open source lossless video codec written by Ben Greenwood. [1] It is a fork of the code of HuffYUV and offers better compression at the cost of greatly reduced speed on uniprocessor systems. [2] [3] Lagarith was designed and written with a few aims in mind: Speed

  7. LZ4 (compression algorithm) - Wikipedia

    en.wikipedia.org/wiki/LZ4_(compression_algorithm)

    LZ4 only uses a dictionary-matching stage (LZ77), and unlike other common compression algorithms does not combine it with an entropy coding stage (e.g. Huffman coding in DEFLATE). [4] [5] The LZ4 algorithm represents the data as a series of sequences. Each sequence begins with a one-byte token that is broken into two 4-bit fields.

  8. Lempel–Ziv–Oberhumer - Wikipedia

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

    Requires an additional buffer during compression (of size 8 kB or 64 kB, depending on compression level) Requires no additional memory for decompression other than the source and destination buffers Allows the user to adjust the balance between compression ratio and compression speed, without affecting the speed of decompression

  9. MSU Lossless Video Codec - Wikipedia

    en.wikipedia.org/wiki/MSU_Lossless_Video_Codec

    The MSU Lossless Video Codec is a video codec developed by the Graphics & Media Lab Video Group of Moscow State University. It was designed to provide space-effective lossless video compression . As of 2007 MSU had the second-best compression ratio when compared to many other lossless video codecs, [ 1 ] with the better result shown by YULS codec.