PREDICTIVE VECTOR QUANTIZATION OF IMAGES.

Hsueh-Ming Hang*, John W. Woods

*Corresponding author for this work

Research output: Contribution to conferencePaper

Abstract

The paper presents 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.

Original languageEnglish
Pages94-98
Number of pages5
StatePublished - 1 Dec 1984
Event18th Annual Conference on Information Sciences and Systems - Princeton University, Princeton, United States
Duration: 14 Mar 198416 Mar 1984

Conference

Conference18th Annual Conference on Information Sciences and Systems
CountryUnited States
CityPrinceton
Period14/03/8416/03/84

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  • Cite this

    Hang, H-M., & Woods, J. W. (1984). PREDICTIVE VECTOR QUANTIZATION OF IMAGES.. 94-98. Paper presented at 18th Annual Conference on Information Sciences and Systems, Princeton, United States.