title: A Gaussian derivative based version of JPEG for image compression and decompression.
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.
authors.affiliation: Manufacturing and Design Systems Department, General Motors Research and Development Center, Warren, MI 48090-9055, USA.
authors.forename: A P
authors.initials: AP
authors.lastname: Morgan
authors.forename: L T
authors.initials: LT
authors.lastname: Watson
authors.forename: R A
authors.initials: RA
authors.lastname: Young