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| Classified vector quantization of wavlet image using space vector combination |
| Zheng Yong; Hu Xiaochuan; Zhu Weile |
| Dept. of Electronic Eng., UEST of China Chengdu 610054 China |
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Abstract A new method which performs classified vector quantization to wavelet image using space vector combination is presented. The method rearranges the wavelet coefficients utilizing fully the space and frequency correlation of them, and classifies the combined vector through joint judgement using the vector energy and zerotree vector. The whole image only need one quantization codebook, the classified information need a little bits to express, and vector quantization adopts weighted mean square error rule that using mankind visual characteristic to improve quantization gain. Simulation shows that this method can be realized easily and can compress the wavelet image efficiently under lower coding rate.
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Received: 18 December 2000
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2002, Vol. 24 
