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Image Compression with Wavelet-Based Vector Quantization
Shinfeng D. LIN Shih-Chieh SHIE Kuo-Yuan LEE
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2003/04/01
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing, Image Pattern Recognition
image compression, wavelet transformation, interpolative vector quantization, feature vector,
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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  and WTC-NIVQ  techniques.