Noise removal based on surface approximation of color line

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)1567-1574
Number of pages8
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE101A
Issue number9
DOIs
Publication statusPublished - 2018 Sep 1

Fingerprint

Surface Approximation
Noise Removal
Color
Line
Denoising
Color Image
Patch

Keywords

  • Approximation methods
  • Color-line model
  • Image denoising

ASJC Scopus subject areas

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

Cite this

Noise removal based on surface approximation of color line. / Manabe, Koichiro; Yamaguchi, Takuro; Ikehara, Masaaki.

In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E101A, No. 9, 01.09.2018, p. 1567-1574.

Research output: Contribution to journalArticle

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