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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. If "simple 4:2:2" is used, it ...
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.
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
The quality the codec can achieve is heavily based on the compression format the codec uses. A codec is not a format, and there may be multiple codecs that implement the same compression specification – for example, MPEG-1 codecs typically do not achieve quality/size ratio comparable to codecs that implement the more modern H.264 specification.
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]
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.
Uncompressed digital media as well as lossless compression have high memory and bandwidth requirements, which is significantly reduced by the DCT lossy compression technique, [7] [8] capable of achieving data compression ratios from 8:1 to 14:1 for near-studio-quality, [7] up to 100:1 for acceptable-quality content. [8]