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Proceedings Paper

Wavelet image compression with optimized perceptual quality
Author(s): Yung-Kai Lai; C.-C. Jay Kuo
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Paper Abstract

We proposed a perceptual image compression method by using the wavelet transform. This method is different from conventional wavelet coding schemes in that the Human Visual System characteristics is used in the quantization steps. Rather than the amplitude of wavelet coefficients, the contrasts of each resolution are coded. The resulting compression scheme is able to distribute the visual error uniformly over the whole image thus the visual artifact at low bit rate is minimized. Experimental results are given to show the superior visual performance of the new method in comparison with those of the conventional wavelet coders.

Paper Details

Date Published: 1 October 1998
PDF: 12 pages
Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); doi: 10.1117/12.323197
Show Author Affiliations
Yung-Kai Lai, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 3460:
Applications of Digital Image Processing XXI
Andrew G. Tescher, Editor(s)

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