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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.
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.
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.
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.
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.
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
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.
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]