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

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3 Author(s)
Morgan, A.P. ; Dept. of Manuf. & Design Syst., Gen. Motors Res. & Dev. Center, Warren, MI, USA ; Watson, L.T. ; Young, R.A.

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

Published in:

Image Processing, IEEE Transactions on  (Volume:7 ,  Issue: 9 )