A fast linde-buzo-gray algorithm in image vector quantization

Yih Chuan Lin, Shen-Chuan Tai

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

This brief presents a novel algorithm for speeding up the codebook design in image vector quantization that exploits the correlation among the pixels in an image block to compress the computational complexity of calculating the squared Euclidean distortion measures, and uses the similarity between the codevectors in the consecutive codebooks during the iterative clustering process to reduce the number of codevectors necessary to be checked for one codebook search. Verified test results have shown that the proposed algorithm can provide almost 98% reduction of the execution time when compared to the conventional Linde-Buzo-Gray (LBG) algorithm.

Original languageEnglish
Pages (from-to)432-435
Number of pages4
JournalIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Volume45
Issue number3
DOIs
Publication statusPublished - 1998 Dec 1

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Vector quantization
Computational complexity
Pixels

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

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A fast linde-buzo-gray algorithm in image vector quantization. / Lin, Yih Chuan; Tai, Shen-Chuan.

In: IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 45, No. 3, 01.12.1998, p. 432-435.

Research output: Contribution to journalArticle

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