Color-line vector field and local color component decomposition for smoothing and denoising of color images

Keiichiro Shirai, Masahiro Okuda, Masaaki Ikehara

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)

    Abstract

    Most conventional smoothing and denoising methods for color images deal with each color channel independently, which results in discolorations due to unbalancing the relation between the color components. In this paper, we propose a smoothing algorithm to reduce discolorations based on 'color-lines'. Our iterative algorithm consists of a local color decomposition step by color-line vectors and an iterative filtering step. Our numerical simulation shows that the method improves image quality with less discolorations while keeping the smoothing capability.

    Original languageEnglish
    Title of host publicationICPR 2012 - 21st International Conference on Pattern Recognition
    Pages3050-3053
    Number of pages4
    Publication statusPublished - 2012 Dec 1
    Event21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
    Duration: 2012 Nov 112012 Nov 15

    Publication series

    NameProceedings - International Conference on Pattern Recognition
    ISSN (Print)1051-4651

    Other

    Other21st International Conference on Pattern Recognition, ICPR 2012
    CountryJapan
    CityTsukuba
    Period12/11/1112/11/15

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

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