A Gaussian derivative based version of JPEG for image compression and decompression

The compression and decompression of continuoustone 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 here might yield a compression/decompression technique twice as fast as the DCT and of (essentially) equal quality.