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The DSC standard supports up to a 3∶1 compression ratio (reducing the data stream to 8 bits per pixel) with constant or variable bit rate, RGB or Y′C B C R 4:4:4, 4:2:2, or 4:2:0 color format, and color depth of 6, 8, 10, or 12 bits per color component.
Each sublevel is defined by a nominal bit-per-pixel (Nbpp) value that indicates the maximum amount of bits per pixel for an encoded image of the maximum permissible number of sampling grid points according to the selected conformance level.
LosslessCut is a free, platform independent video editing software, which supports numerous audio, video and container formats. [4] [5] It is a graphical user interface, with MacOS, [6] Windows [7] and Linux [8] support, using the FFmpeg multimedia framework. The software focuses on the lossless editing of the video files. [9]
Typically, compressions using lossless operation mode can achieve around 2:1 compression ratio for color images. [5] This mode is quite popular in the medical imaging field, and defined as an option in DNG standard, but otherwise it is not very widely used because of complexity of doing arithmetics on 10, 12, or 14bpp values on typical embedded 32-bit processor and a little resulting gain in ...
TTA – Lossless compression; WavPack – Hybrid lossy/lossless; Bonk – Hybrid lossy/lossless; supported by fre:ac (formerly BonkEnc) Apple Lossless – Lossless 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.
The Weissman score is a performance metric for lossless compression applications. It was developed by Tsachy Weissman, a professor at Stanford University, and Vinith Misra, a graduate student, at the request of producers for HBO's television series Silicon Valley, a television show about a fictional tech start-up working on a data compression algorithm.
Run-length encoding (RLE) is a form of lossless data compression in which runs of data (consecutive occurrences of the same data value) are stored as a single occurrence of that data value and a count of its consecutive occurrences, rather than as the original run. As an imaginary example of the concept, when encoding an image built up from ...
This makes it useful for scaling the details in faces, and in particular eyes. xBRZ is optimized for multi-core CPUs and 64-bit architectures and shows 40–60% better performance than HQx even when running on a single CPU core only. [citation needed] It supports scaling images with an alpha channel, and scaling by integer factors from 2× up ...