Title :
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
fDate :
9/1/1998 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
