Image Compression with Wavelet-Based Vector Quantization

Shinfeng D. LIN  Shih-Chieh SHIE  Kuo-Yuan LEE  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E86-D   No.4   pp.763-767
Publication Date: 2003/04/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing, Image Pattern Recognition
Keyword: 
image compression,  wavelet transformation,  interpolative vector quantization,  feature vector,  

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Summary: 
A wavelet-based vector quantization scheme for image compression is introduced here. The proposed scheme obtains a better compression efficiency by the following three methods. (1) Utilizing the correlation among wavelet coefficients. (2) Placing different emphasis on wavelet coefficients at different levels. (3) Preserving the most important information of the image. In our experiments, simulation results show that this technique outperforms the recent SMVQ-ABC [1] and WTC-NIVQ [2] techniques.