DocumentCode :
775151
Title :
Predictive Vector Quantization of Images
Author :
Hang, Hsueh-Ming ; Woods, John W.
Author_Institution :
AT&T Bell Labs., Holmdel, NJ
Volume :
33
Issue :
11
fYear :
1985
fDate :
11/1/1985 12:00:00 AM
Firstpage :
1208
Lastpage :
1219
Abstract :
The purpose of this paper is to present new image coding schemes based on a predictive vector quantization (PVQ) approach. The predictive part of the encoder is used to partially remove redundancy, and the VQ part further removes the residual redundancy and selects good quantization levels for the global waveform. Two implementations of this coding approach have been devised, namely, sliding block PVQ and block tree PVQ. Simulations on real images show significant improvement over the conventional DPCM and tree codes using these new techniques. The strong robustness property of these coding schemes is also experimentally demonstrated.
Keywords :
Image coding; Quantization (signal); Signal quantization; Encoding; Filters; Image coding; Pixel; Predictive models; Rate distortion theory; Robustness; Statistics; Systems engineering and theory; Vector quantization;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOM.1985.1096238
Filename :
1096238
Link To Document :
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