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

Volume

Issue

fYear

1995

fDate

11/1/1995 12:00:00 AM

Firstpage

1108

Lastpage

1117

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;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/30.477230

Filename

477230

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1138612