Adaptive Quantization of DWT-Based stereo residual image coding

Han Suh Koo, Chang Sung Jeong

    Research output: Contribution to journalArticlepeer-review

    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
    DOIs
    Publication statusPublished - 2004

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

    Fingerprint

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

    Cite this