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Variable-rate finite-state vector quantization of images

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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
PublisherPubl by IEEE
Pages2301-2304
Number of pages4
ISBN (Print)0780300033
DOIs
StatePublished - 1991
EventProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Can
Duration: May 14 1991 → May 17 1991

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume4

Conference

ConferenceProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
CityToronto, Ont, Can
Period5/14/91 → 5/17/91

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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