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Proceedings Paper

Image compression scheme based on wavelet transform and the human visual system
Author(s): Jiaming Li; Jesse S. Jin
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Paper Abstract

An image compression method based on wavelet transforms and the human visual system (HVS) is presented in this paper. In the proposed method, we emphasize on the issue of designing a quantizer for wavelet transform coefficients, which takes into account the relative importance of different coefficients in human visual perception and minimizes noise introduced in quantization. Since inmost of image processing systems, the final observer of the processed images is human beings, a distortion measurement combining human visual characteristics rather than the usually adopted mean square error to judge the quality of compressed image is presented. The images compressed with out method have less annoying effects under a higher compression ratio than that without incorporating HVS properties.

Paper Details

Date Published: 23 October 1996
PDF: 11 pages
Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); doi: 10.1117/12.255292
Show Author Affiliations
Jiaming Li, Univ. of New South Wales (Australia)
Jesse S. Jin, Univ. of New South Wales (Australia)


Published in SPIE Proceedings Vol. 2825:
Wavelet Applications in Signal and Image Processing IV
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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