Low-complexity high-quality low bit-rate image compression scheme based on wavelets

Chih-Shin Chuang; Gin-Kou Ma

doi:10.1117/12.185928

16 September 1994 Low-complexity high-quality low bit-rate image compression scheme based on wavelets

Chih-Shin Chuang, Gin-Kou Ma

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185928
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

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.

Citation Download Citation

Chih-Shin Chuang and Gin-Kou Ma "Low-complexity high-quality low bit-rate image compression scheme based on wavelets", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185928

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