Please use this identifier to cite or link to this item: https://doi.org/10.1117/1.1483085
Title: Wavelet-based image compression using classified interpolative vector quantization
Authors: Bi, M.
Ong, S.H. 
Ang, Y.H. 
Keywords: Product codebook
Vector quantization
Wavelet transform
Issue Date: Jul-2002
Source: Bi, M., Ong, S.H., Ang, Y.H. (2002-07). Wavelet-based image compression using classified interpolative vector quantization. Optical Engineering 41 (7) : 1528-1535. ScholarBank@NUS Repository. https://doi.org/10.1117/1.1483085
Abstract: A new method of nonlinear interpolative vector quantization for wavelet-transform image coding is proposed. Training and quantization are carried out by classifying the coefficient vectors in the wavelet-transform domain according to their directional activity energy. A product codebook is used during encoding and decoding to allocate bit assignments among these classes adaptively. Compared to the conventional interpolative vector quantization technique, the new method gives superior compression performance and also reduces the complexity of codebook training and quantization. The PSNR improvement is about 1 dB at the compression ratio of 50.
Source Title: Optical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/51069
ISSN: 00913286
DOI: 10.1117/1.1483085
Appears in Collections:Staff Publications

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