Noise removal based on surface approximation of color line

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

Abstract

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.

Original languageEnglish
Title of host publication2018 International Workshop on Advanced Image Technology, IWAIT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538626153
DOIs
Publication statusPublished - 2018 May 30
Event2018 International Workshop on Advanced Image Technology, IWAIT 2018 - Chiang Mai, Thailand
Duration: 2018 Jan 72018 Jan 9

Other

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

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Color

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Media Technology

Cite this

Manabe, K., Yamaguchi, T., & Ikehara, M. (2018). Noise removal based on surface approximation of color line. In 2018 International Workshop on Advanced Image Technology, IWAIT 2018 (pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWAIT.2018.8369705

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

2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4.

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

Manabe, K, Yamaguchi, T & Ikehara, M 2018, Noise removal based on surface approximation of color line. in 2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 2018 International Workshop on Advanced Image Technology, IWAIT 2018, Chiang Mai, Thailand, 18/1/7. https://doi.org/10.1109/IWAIT.2018.8369705
Manabe K, Yamaguchi T, Ikehara M. Noise removal based on surface approximation of color line. In 2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4 https://doi.org/10.1109/IWAIT.2018.8369705
Manabe, Koichiro ; Yamaguchi, Takuro ; Ikehara, Masaaki. / Noise removal based on surface approximation of color line. 2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-4
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