Simple improved full search for vector quantization based on Winograd's identity

Kuo Liang Chung, Wen Ming Yan, Jung-Gen Wu

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Vector quantization (VQ) technique is a well known method in image compression. Employing Winograd's identity, this letter presents a simple improved method in order to cut the computation time in the full search method for VQ nearly 50%. Some experiments are carried out to confirm the theoretical analysis.

Original languageEnglish
Pages (from-to)342-344
Number of pages3
JournalIEEE Signal Processing Letters
Volume7
Issue number12
DOIs
Publication statusPublished - 2000 Dec 1

Fingerprint

Vector Quantization
Vector quantization
Image Compression
Image compression
Search Methods
Theoretical Analysis
Experiment
Experiments

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Simple improved full search for vector quantization based on Winograd's identity. / Chung, Kuo Liang; Yan, Wen Ming; Wu, Jung-Gen.

In: IEEE Signal Processing Letters, Vol. 7, No. 12, 01.12.2000, p. 342-344.

Research output: Contribution to journalArticle

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