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Lossless compression algorithms and their implementations are routinely tested in head-to-head benchmarks. There are a number of better-known compression benchmarks. Some benchmarks cover only the data compression ratio, so winners in these benchmarks may be unsuitable for everyday use due to the slow speed of the top performers. Another ...
In data compression and psychoacoustics, transparency is the result of lossy data compression accurate enough that the compressed result is perceptually indistinguishable from the uncompressed input, i.e. perceptually lossless. A transparency threshold is a given value at which transparency is reached. It is commonly used to describe compressed ...
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.
PDF: Portable Document Format Adobe Systems.pdf, .epdf application/pdf PEF: PENTAX RAW PENTAX TIFF .pef PGF: Progressive Graphics File xeraina GmbH .pgf Photographic images, eventual replacement for JPEG. Yes PGM: Portable Graymap File Format ASCII.pgm image/x-portable-graymap Yes PGML: Precision Graphics Markup Language Adobe Systems, IBM,
Lossless codecs use curve fitting or linear prediction as a basis for estimating the signal. Parameters describing the estimation and the difference between the estimation and the actual signal are coded separately. [50] A number of lossless audio compression formats exist. See list of lossless codecs for a listing.
JPEG XS favors visually lossless quality in combination with low latency and low complexity, over date reduction through compression. It is not a direct competitor to alternative image codecs like JPEG 2000 and JPEG XL or video codecs like AV1, AVC/H.264 and HEVC/H.265 which tend to focus on compression efficiency. Other important features are:
Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.
Although DSC is not mathematically lossless, it meets the ISO/IEC 29170 standard for "visually lossless" compression, a form of compression in which "the user cannot tell the difference between a compressed and uncompressed image". [3]