Please use this identifier to cite or link to this item: https://doi.org/10.1117/1.1483085
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dc.titleWavelet-based image compression using classified interpolative vector quantization
dc.contributor.authorBi, M.
dc.contributor.authorOng, S.H.
dc.contributor.authorAng, Y.H.
dc.date.accessioned2014-04-24T07:25:38Z
dc.date.available2014-04-24T07:25:38Z
dc.date.issued2002-07
dc.identifier.citationBi, 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
dc.identifier.issn00913286
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/51069
dc.description.abstractA 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1117/1.1483085
dc.sourceScopus
dc.subjectProduct codebook
dc.subjectVector quantization
dc.subjectWavelet transform
dc.typeArticle
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1117/1.1483085
dc.description.sourcetitleOptical Engineering
dc.description.volume41
dc.description.issue7
dc.description.page1528-1535
dc.description.codenOPEGA
dc.identifier.isiut000177021900014
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