Adaptive Quantization of DWT-Based stereo residual image coding

Han Suh Koo, Chang Sung Jeong

Research output: Contribution to journalArticlepeer-review


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)
Publication statusPublished - 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'Adaptive Quantization of DWT-Based stereo residual image coding'. Together they form a unique fingerprint.

Cite this