Variable-rate finite-state vector quantization of images

Y. Hussain, N. Farvardin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

A description is given of two variable-rate finite-state vector quantization systems for low bit rate image coding. The first system subtracts the mean from each input block and then encodes the mean-subtracted block by means of the 2-D version of the variable-rate finite-state vector quantization system. The block-mean is separately encoded efficiently by exploiting the high correlation present in the means of the adjacent blocks. At a bit rate of 0.31 b/pixel, a peak signal-to-noise ratio of 31.66 dB is achieved for encoding the 512 × 512 version of the Lena image using this system. The second system is a generalization of the system described by E. A. Riskin et al (1989). A prediction is made on each pixel using a fifth-order predictor, and the residual is again encoded using the same type of finite-state vector quantization. A peak signal-to-noise ratio of 31.2 dB is achieved at 0.31 bits/pixel for encoding the 512 × 512 version of Lena using this system.

Original languageEnglish
Title of host publicationProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Pages2301-2304
Number of pages4
DOIs
StatePublished - 1991
EventProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Can
Duration: 14 May 199117 May 1991

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume4
ISSN (Print)0736-7791

Conference

ConferenceProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
CityToronto, Ont, Can
Period14/05/9117/05/91

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