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Image compression. 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 ...
JPEG 2000 (JP2) is an image compression standard and coding system. It was developed from 1997 to 2000 by a Joint Photographic Experts Group committee chaired by Touradj Ebrahimi (later the JPEG president), [1] with the intention of superseding their original JPEG standard (created in 1992), which is based on a discrete cosine transform (DCT), with a newly designed, wavelet-based method.
JPEG ( / ˈdʒeɪpɛɡ / JAY-peg, short for Joint Photographic Experts Group) [ 2] is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography. The degree of compression can be adjusted, allowing a selectable tradeoff between storage size and image quality.
Facebook is helping smaller developers address the need for image compression by releasing the technology it developed for faster image uploads as an open source tool. It's called Spectrum, and it ...
Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. [ 1] By contrast, lossy compression permits reconstruction only of an approximation ...
The example above posted by O’Brien is actually a really illustrative one when it comes to showing what kind of detail and quality can be preserved when Twitter doesn’t further compress or ...
Data compression. In information theory, data compression, source coding, [ 1] or bit-rate reduction is the process of encoding information using fewer bits than the original representation. [ 2] Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy.
In contrast, lossy compression (e.g. JPEG for images, or MP3 and Opus for audio) can achieve much higher compression ratios at the cost of a decrease in quality, such as Bluetooth audio streaming, as visual or audio compression artifacts from loss of important information are introduced.
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