Please use this identifier to cite or link to this item:
|Title:||Wavelet-based image compression using classified interpolative vector quantization|
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 21, 2018
WEB OF SCIENCETM
checked on May 7, 2018
checked on Feb 27, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.