TY - GEN
T1 - Small codebook interpolative vector quantization system
AU - Tsang, Peter Wai Ming
AU - Lee, Wing Tung
PY - 1996
Y1 - 1996
N2 - In a VQ system, the complexity of the encoders is often depended on the size of the codebook used. If the size of the codebook is too large, the computation load would be too high and hence difficult to implement. In view of this, Interpolative Vector Quantization (IVQ) had been suggested to reduce the codebook size of the systems. In essence, an approximated image is first generated, and then subtracted by the original picture to give a residual image. The latter is then encoded with conventional VQ. In this approach, the size of the codebook can be reduced without degradation in the visual quality of the decoded images.
AB - In a VQ system, the complexity of the encoders is often depended on the size of the codebook used. If the size of the codebook is too large, the computation load would be too high and hence difficult to implement. In view of this, Interpolative Vector Quantization (IVQ) had been suggested to reduce the codebook size of the systems. In essence, an approximated image is first generated, and then subtracted by the original picture to give a residual image. The latter is then encoded with conventional VQ. In this approach, the size of the codebook can be reduced without degradation in the visual quality of the decoded images.
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0030360644&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
VL - 1
SP - 136
EP - 139
BT - Proceedings of the International Symposium on Signal Processing and its Applications, ISSPA
PB - IEEE
T2 - Proceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2)
Y2 - 25 August 1996 through 30 August 1996
ER -