New algorithm of classified vector quantization based on wavelet transform for image coding

Luping Xu; Beilei Kou; Ya-e Zhao

doi:10.1117/12.442908

26 September 2001 New algorithm of classified vector quantization based on wavelet transform for image coding

Luping Xu, Beilei Kou, Ya-e Zhao

Proceedings Volume 4551, Image Compression and Encryption Technologies; (2001) https://doi.org/10.1117/12.442908
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

New algorithm of classified vector quantization based on wavelet transform for image coding is presented. According to the similarity in the same orientation but different levels of the discrete wavelet transform domain, this paper proposes a new algorithm of multiresolutional classified vector quantization. This algorithm exploits an efficient classifier to classify the vectors and uses the class information of the higher lever to instruct the vector classification of the lower lever by taking advantaging of the similarity. Simulation results show that this algorithm can get the higher image compression ratio and pleasant quality of the reconstructed image in comparison with others.

Citation Download Citation

Luping Xu, Beilei Kou, and Ya-e Zhao "New algorithm of classified vector quantization based on wavelet transform for image coding", Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); https://doi.org/10.1117/12.442908

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