Noise removal based on surface approximation of color line

Koichiro Manabe, Takuro Yamaguchi, Masaaki Ikehara

    研究成果: Article査読

    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. This property is called "Color Line" and we propose a denoising method based on this property. When a noise is added on an image, its color distribution spreads from the 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 plane and so on. In our method, we estimate the distribution in more detail using plane approximation and denoise each patch by reducing the spread depending on the Color Line types. In this way, we can achieve better denoising results than a conventional method.

    本文言語English
    ページ(範囲)1567-1574
    ページ数8
    ジャーナルIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
    E101A
    9
    DOI
    出版ステータスPublished - 2018 9 1

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Graphics and Computer-Aided Design
    • Electrical and Electronic Engineering
    • Applied Mathematics

    フィンガープリント 「Noise removal based on surface approximation of color line」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル