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  2. JPEG XS - Wikipedia

    en.wikipedia.org/wiki/JPEG_XS

    A second edition of all five parts is in the making and will be published at the latest in the beginning of 2022. It provides additional coding tools, profiles and levels, and new reference software to add support for efficient compression of 4:2:0 content, RAW Bayer/CFA content, and mathematically lossless compression.

  3. 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.

  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. 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. List of open-source codecs - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source_codecs

    TTA – Lossless compression; WavPack – Hybrid lossy/lossless; Bonk – Hybrid lossy/lossless; supported by fre:ac (formerly BonkEnc) Apple LosslessLossless compression (MP4) Fraunhofer FDK AAC – Lossy compression (AAC) FFmpeg codecs in the libavcodec library, e.g. AC-3, AAC, ADPCM, PCM, Apple Lossless, FLAC, WMA, Vorbis, MP2, etc.

  9. Lempel–Ziv–Oberhumer - Wikipedia

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

    Allows the user to adjust the balance between compression ratio and compression speed, without affecting the speed of decompression; LZO supports overlapping compression and in-place decompression. As a block compression algorithm, it compresses and decompresses blocks of data. Block size must be the same for compression and decompression.