Wavelet image compression with optimized perceptual quality

Yung-Kai Lai; C.-C. Jay Kuo

doi:10.1117/12.323197

1 October 1998 Wavelet image compression with optimized perceptual quality

Yung-Kai Lai, C.-C. Jay Kuo

Proceedings Volume 3460, Applications of Digital Image Processing XXI; (1998) https://doi.org/10.1117/12.323197
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

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.

Citation Download Citation

Yung-Kai Lai and C.-C. Jay Kuo "Wavelet image compression with optimized perceptual quality", Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); https://doi.org/10.1117/12.323197

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