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