Title :
A low complexity predicted vector quantization scheme
Author :
Tsang, P.W.M. ; Lee, W.T.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
fDate :
11/1/1995 12:00:00 AM
Abstract :
The use of spatial prediction schemes had been adopted in vector quantization for enhancing the coding fidelity and visual quality in image compression. Despite the improvement, these schemes are generally computationally expensive and hence increase the complexity of the encoders and decoders. Two predicted vector quantization techniques are reported. The proposed methods are economical and simple to implement, and provide reasonable improvement over the classical LBG algorithm
Keywords :
computational complexity; data compression; decoding; image coding; prediction theory; vector quantisation; coding fidelity; decoders; encoders; image coding; image compression; low complexity predicted vector quantization; spatial prediction; visual quality; Clustering algorithms; Costs; Decoding; Economic forecasting; Image coding; Markov processes; Mean square error methods; Pixel; Surface fitting; Vector quantization;
Journal_Title :
Consumer Electronics, IEEE Transactions on