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Proceedings Paper

Wavelet-based image compression using perceptual distortion metric
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Paper Abstract

Bits are allocated to various subbands to minimize a particular cost function to achieve compression in subband coding. The most common cost function is the L2 norm based on mean squared error (MSE). However, the MSE often fails to correspond to the perceptual quality of the image, especially at low bit rate. In this paper, we allocate bits into various subbands by minimizing the Minkowsky metric -- a commonly used perceptual distortion measure. We then design the quantizer for each subband independent of each other based on the allocated bits. Experimental results indicate improved perceptual quality for the compressed images using Minkowsky metric compared to that of using the MSE metric.

Paper Details

Date Published: 8 August 2003
PDF: 5 pages
Proc. SPIE 5108, Visual Information Processing XII, (8 August 2003); doi: 10.1117/12.484832
Show Author Affiliations
Hemen Goswami, Sultan Qaboos Univ. (Oman)
Samuel Peter Kozaitis, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5108:
Visual Information Processing XII
Zeno J. Geradts; Zia-ur Rahman; Lenny I. Rudin; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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