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

Author

Morgan, Alexander P. ; Watson, Layne T. ; Young, Richard A.

Author_Institution

Dept. of Manuf. & Design Syst., Gen. Motors Res. & Dev. Center, Warren, MI, USA

Volume

7

Issue

9

fYear

1998

fDate

9/1/1998 12:00:00 AM

Firstpage

1311

Lastpage

1320

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

Keywords

Gaussian processes; code standards; data compression; decoding; image coding; image representation; telecommunication standards; transform coding; visual perception; DCT; Gaussian derivative; JPEG; Joint Photographic Experts Group; computer arithmetic hardware; continuous-tone images; discrete cosine transformation; document management systems; document transmission systems; image compression; image decompression; image intensity functions; image quality; image representation; orthonormal bases; primate vision experiments; Digital arithmetic; Discrete cosine transforms; Fractals; Hardware; Helium; Image coding; Image reconstruction; Image representation; Pixel; Transform coding;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.709663

Filename

709663