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Proceedings Paper

Low-complexity high-quality low bit-rate image compression scheme based on wavelets
Author(s): Chih-Shin Chuang; Gin-Kou Ma
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Paper Abstract

Hierarchical image decompositions have been widely studied in conjunction with different quantizer for image coding. This paper presented a new approach of compressing still image based on the combination of scalar quantizers, a vector quantizer, variable length coders, and the hierarchical wavelet decomposition. Our simulation results show, with proper choice of quantization threshold, that the proposed scheme can yield higher compression ratio than the previously developed tree-structured quantization scheme. In the mean time, the quality of reproduced image is very competitive and the computational complexity is lower than those schemes. An adaptive algorithm which automatically calculates the quantization step in order to meet the predetermined bit rate is also presented in this paper. Compare with JPEG, this scheme yields better perceptual quality of the reproduced image at very low bit rate.

Paper Details

Date Published: 16 September 1994
PDF: 10 pages
Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.185928
Show Author Affiliations
Chih-Shin Chuang, Industrial Technology Research Institute (Taiwan)
Gin-Kou Ma, Industrial Technology Research Institute (Taiwan)


Published in SPIE Proceedings Vol. 2308:
Visual Communications and Image Processing '94
Aggelos K. Katsaggelos, Editor(s)

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