DocumentCode
595367
Title
Color-line vector field and local color component decomposition for smoothing and denoising of color images
Author
Shirai, Keigo ; Okuda, Masumi ; Ikehara, Masaaki
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
3050
Lastpage
3053
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.
Keywords
image colour analysis; image denoising; iterative methods; smoothing methods; vectors; color channel; color image denoising; color image smoothing; color-line vector field; discoloration reduction; image quality improvement; iterative algorithm; iterative filtering step; local color component decomposition step; numerical simulation; Colored noise; Image color analysis; Noise measurement; Noise reduction; Principal component analysis; Smoothing methods; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460808
Link To Document