Adaptive Quantization of DWT-Based stereo residual image coding

Han S. Koo, Chang-Sung Jeong

Research output: Contribution to journalArticle

Abstract

General procedure for stereo image coding is to use disparity compensated prediction methods and code residuals separately. Although the characteristics of stereo residuals are different from those of common images, JPEG-like methods which are applied to monocular images are used frequently and less research has been devoted to residual image coding. The focus of this paper is to make stereo image coding more efficient by speculating the characteristics of the residual image. By measuring the edge tendency of residual image, our method modifies the quantization matrix adaptively using discrete wavelet transform.

Original languageEnglish
Pages (from-to)1141-1147
Number of pages7
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3314
Publication statusPublished - 2004 Dec 1

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Image Coding
Image coding
Quantization
Discrete wavelet transforms
Wavelet Analysis
Wavelet Transform
Research
Prediction

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

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