Noise removal based on surface approximation of color line

Koichiro Manabe, Takuro Yamaguchi, Masaaki Ikehara

    研究成果: Conference contribution

    抄録

    In a local region of a color image, the color distribution often takes the form of a linear line in the RGB space. We call this property "Color Line". We propose a denoising method based on this property. When the noise is added on an image, the color distribution spreads from Color Line. The denoising is achieved by reducing the spread. In conventional methods, Color Line is assumed to be only a single line, but actual distribution takes various shapes such as a single line, two lines, and a flat surface and so on. In our method, we estimate the distribution in more detail using surface approximation and denoise each patch by reducing the spread depending on the color distribution types. In this way, we can achieve better denoising result than a conventional method.

    本文言語English
    ホスト出版物のタイトル2018 International Workshop on Advanced Image Technology, IWAIT 2018
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ1-4
    ページ数4
    ISBN(電子版)9781538626153
    DOI
    出版ステータスPublished - 2018 5 30
    イベント2018 International Workshop on Advanced Image Technology, IWAIT 2018 - Chiang Mai, Thailand
    継続期間: 2018 1 72018 1 9

    Other

    Other2018 International Workshop on Advanced Image Technology, IWAIT 2018
    国/地域Thailand
    CityChiang Mai
    Period18/1/718/1/9

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • コンピュータ ビジョンおよびパターン認識
    • メディア記述

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