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A Gaussian derivative based version of JPEG for image compression and decompression
A P Morgan1, L T Watson, R A Young
1Manufacturing and Design Systems Department, General Motors Research and Development Center, Warren, MI 48090-9055, USA.
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.
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