New addressing scheme for vector quantization of images

Kwok Tung Lo, Shing Mo Cheng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper, a dynamic addressing scheme (DAVQ) is introduced for image vector quantization. It is a variable rate coding scheme that exploits the interblock correlation to minimize the bit-rate for a given fidelity. Each pattern matching of the DAVQ is through a two-stage searching. It first searches the previously used codewords according to a predefined 2-D spatial scanning path and then continues the search in the remaining of the codebook. At each instant of encoding, it may be envisaged that a virtual 2-D codebook of ever adapting array of codewords is naturally evolved with respect to each individual input block. Simulation results demonstrate that a general saving of around 40% in bit-rate is acquired.
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE
Pages435-438
Number of pages4
Publication statusPublished - 1 Dec 1996
EventProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switzerland
Duration: 16 Sep 199619 Sep 1996

Conference

ConferenceProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
Country/TerritorySwitzerland
CityLausanne
Period16/09/9619/09/96

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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