Improved minimum distortion encoding algorithm for image vector quantization

Kwok Tung Lo, Jian Feng

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

Abstract

An improved minimum distortion encoding method called predictive mean search (PMS) algorithm is proposed for image vector quantization in this paper. With the proposed method, the minimum distortion codeword can be found by searching only a portion of the codebook and its relative address to the origin of search is sent instead of absolute address. Two schemes are proposed to transmit the relative address of the minimum distortion codeword. Simulation results show that a significant reduction in both computations and bit-rates is achieved by using the proposed methods.
Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages668-675
Number of pages8
Volume2501
Edition1/-
ISBN (Print)0891418587
Publication statusPublished - 1 Jan 1995
EventVisual Communications and Image Processing '95 - Taipei, Taiwan
Duration: 24 May 199526 May 1995

Conference

ConferenceVisual Communications and Image Processing '95
CountryTaiwan
CityTaipei
Period24/05/9526/05/95

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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