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Proceedings Paper

Compressing CMYK images by removing color redundancy: a perceptual-based quality evaluation
Author(s): Peter De Neve; Koen N.A. Denecker; Wilfried R. Philips; Ignace L. Lemahieu
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Paper Abstract

CMYK color images are used extensively in pre-press applications. When compressing those color images one has to deal with four different color channels. Usually compression algorithms only take into account the spatial redundancy that is present in the image data. This approach doesn't yield an optimal data reduction since there exists a high correlation between the different colors in natural images that is not taken into account. This paper shows that a significant gain in data reduction can be achieved by exploiting this color redundancy. Some popular transform coders, including DCT-based JPEG and the SPIHT wavelet coder, were used for reducing the spatial redundancy. The performance of the algorithms was evaluated using a quality criterium based on human perception like the CIELab (Delta) E error.

Paper Details

Date Published: 7 September 1998
PDF: 10 pages
Proc. SPIE 3409, Electronic Imaging: Processing, Printing, and Publishing in Color, (7 September 1998); doi: 10.1117/12.324118
Show Author Affiliations
Peter De Neve, Univ. of Ghent (Belgium)
Koen N.A. Denecker, Univ. of Ghent (Belgium)
Wilfried R. Philips, Univ. of Ghent (Belgium)
Ignace L. Lemahieu, Univ. of Ghent (Belgium)


Published in SPIE Proceedings Vol. 3409:
Electronic Imaging: Processing, Printing, and Publishing in Color
Jan Bares, Editor(s)

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