Data compression approach that reduces data size while discarding or changing some of it
Low-compression (high quality) JPEG
High-compression (low quality) JPEG
In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content. The different versions of the photo of the cat on this page show how higher degrees of approximation create coarser images as more details are removed. This is opposed to lossless data compression (reversible data compression) which does not degrade the data. The amount of data reduction possible using lossy compression is much higher than using lossless techniques.
Well-designed lossy compression technology often reduces file sizes significantly before degradation is noticed by the end-user. Even when noticeable by the user, further data reduction may be desirable (e.g., for real-time communication or to reduce transmission times or storage needs). The most widely used lossy compression algorithm is the discrete cosine transform (DCT), first published by Nasir Ahmed, T. Natarajan and K. R. Rao in 1974.
Lossy compression is most commonly used to compress multimedia data (audio, video, and images), especially in applications such as streaming media and internet telephony. By contrast, lossless compression is typically required for text and data files, such as bank records and text articles. It can be advantageous to make a master lossless file which can then be used to produce additional copies from. This allows one to avoid basing new compressed copies off of a lossy source file, which would yield additional artifacts and further unnecessary information loss.
In information technology, lossycompression or irreversible compression is the class of data compression methods that uses inexact approximations and...
the original representation. Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating...
generic data compression methods which are used for other digital data. Image compression may be lossy or lossless. Lossless compression is preferred...
A compression artifact (or artefact) is a noticeable distortion of media (including images, audio, and video) caused by the application of lossy compression...
information. Lossless compression is possible because most real-world data exhibits statistical redundancy. By contrast, lossycompression permits reconstruction...
uncompressed, or compressed to reduce the file size, often using lossycompression. The data can be a raw bitstream in an audio coding format, but it...
uncompressed. If the data is compressed, it may be done so using lossycompression or lossless compression. For graphic design applications, vector formats are often...
used method of lossycompression for digital images, particularly for those images produced by digital photography. The degree of compression can be adjusted...
lossless compression by incremental grammar inference on a string 3Dc: a lossy data compression algorithm for normal maps Audio and Speech compression A-law...
(ELA) is the analysis of compression artifacts in digital data with lossycompression such as JPEG. When used, lossycompression is normally applied uniformly...
Microsoft originally developed and patented. It supports both lossy and lossless compression, and is the preferred image format for Ecma-388 Open XML Paper...
S3 Texture Compression (S3TC) (sometimes also called DXTn, DXTC, or BCn) is a group of related lossy texture compression algorithms originally developed...
by the Joint Photographic Experts Group as the basis for JPEG's lossy image compression algorithm in 1992. The discrete sine transform (DST) was derived...
floating point values, as well as various compression techniques which include lossless and lossycompression algorithms. It also has arbitrary channels...
The following is a list of compression formats and related codecs. Linear pulse-code modulation (LPCM, generally only described as PCM) is the format...
Fractal compression is a lossycompression method for digital images, based on fractals. The method is best suited for textures and natural images, relying...
mostly zeros). In contrast, lossycompression (e.g. JPEG for images, or MP3 and Opus for audio) can achieve much higher compression ratios at the cost of a...
using lossy video or audio compression codecs as these introduce artifacts into the source material with each encode or reencode. Lossycompression codecs...
lossless and lossycompression are recently being considered in the literature. For example, the algorithm QualComp performs lossycompression with a rate...
compression standard for bi-level images, developed by the Joint Bi-level Image Experts Group. It is suitable for both lossless and lossycompression...
Adaptive scalable texture compression (ASTC) is a lossy block-based texture compression algorithm developed by Jørn Nystad et al. of ARM Ltd. and AMD...
used by a codec implementing the format. An important part of how lossy audio compression works is by removing data in ways humans can't hear, according...
standard provides both lossless and lossycompression in a single compression architecture. Lossless compression is provided by the use of a reversible...
lossless and lossycompression are recently being considered in the literature. For example, the algorithm QualComp performs lossycompression with a rate...
video data on a computer system. Video is almost always stored using lossycompression to reduce the file size. A video file normally consists of a container...
sequences to better match the existing LZW dictionary, a form of lossycompression. Simply packing a series of independent frame images into a composite...
data high error. This is why VQ is suitable for lossy data compression. It can also be used for lossy data correction and density estimation. Vector quantization...
genomics in particular, lossless compression, lossycompression, delay-constrained and complexity-constrained compression and communication, network information...
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