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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.
This category includes articles, which includes information on image compression methods and algorithms. For information on graphics file formats see Category:Graphics file formats . Subcategories
Pixel prediction neighborhoods. Like other lossless codecs for continuous-tone images, FELICS operates by decorrelating the image and encoding it with an entropy coder.The decorrelation is the context = where = (,) and = (,) where , are the pixel's two nearest neighbors (causal, already coded and known at the decoder) used for providing the context to code the present pixel .
Set partitioning in hierarchical trees (SPIHT) [1] is an image compression algorithm that exploits the inherent similarities across the subbands in a wavelet decomposition of an image. The algorithm was developed by Brazilian engineer Amir Said with William A. Pearlman in 1996.
This is an accepted version of this page This is the latest accepted revision, reviewed on 1 February 2025. Lossy compression method for reducing the size of digital images For other uses, see JPEG (disambiguation). "JPG" and "Jpg" redirect here. For other uses, see JPG (disambiguation). JPEG A photo of a European wildcat with the compression rate, and associated losses, decreasing from left ...
CCSDS 122.0 is a CCSDS lossless to lossy image compression standard originally released in November 2005. The encoder consists of two parts—a discrete wavelet transform transform coder followed by a bitplane encoder on the similar lines as Embedded Zerotree Wavelet by Shapiro.
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 ...
A tutorial discussion of how it is used to achieve digital video compression in various international standards defined by ITU and MPEG (Moving Picture Experts Group) is available in a paper by K. R. Rao and J. J. Hwang [16]: JPEG: Chapter 8; H.261: Chapter 9; MPEG-1: Chapter 10; MPEG-2: Chapter 11 which was published in 1996, and an overview ...