A Gaussian derivative based version of JPEG for image compression and decompression.
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- Record sourced from PubMed, PMID 18276342.
- Also identified by DOI 10.1109/83.709663.
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Abstract
The compression and decompression of continuous-tone images is important in document management and transmission systems. This paper considers an alternative image representation scheme, based on Gaussian derivatives, to the standard discrete cosine transformation (DCT), within a Joint Photographic Experts Group (JPEG) framework. Depending on the computer arithmetic hardware used, the approach developed might yield a compression/decompression technique twice as fast as the DCT and of (essentially) equal quality.