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On Comparing Image and Video Compression Algorithms

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Touradj Ebrahimi, Frédéric Dufaux, Mourad Ouaret
2007
conference papers

Abstract

In this work, a performance evaluation of AVC Intra and JPEG2000 in terms of rate-distortion performance is conducted. A set of High Definition sequences with different spatial resolutions is used for this purpose. Results obtained show quite competitive performance between two coding approaches, while in some cases, AVC Intra, in its High Profile, outperforms JPEG2000.

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https://infoscience.epfl.ch/entities/publication/7f779551-42b8-4a1f-8776-a002a8e6163d

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Related concepts (31)

Image compression

Image compression is a type of data compression applied to s, 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. Image compression may be lossy or lossless. Lossless compression is preferred for archival purposes and often for medical imaging, technical drawings, clip art, or comics.

Video coding format

A video coding format (or sometimes video compression format) is a content representation format for storage or transmission of digital video content (such as in a data file or bitstream). It typically uses a standardized video compression algorithm, most commonly based on discrete cosine transform (DCT) coding and motion compensation. A specific software, firmware, or hardware implementation capable of compression or decompression to/from a specific video coding format is called a video codec.

Data compression

In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation. Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by removing unnecessary or less important information.

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