TY - GEN
T1 - Color-line vector field and local color component decomposition for smoothing and denoising of color images
AU - Shirai, Keiichiro
AU - Okuda, Masahiro
AU - Ikehara, Masaaki
PY - 2012/12/1
Y1 - 2012/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84874555026&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:84874555026
SN - 9784990644109
T3 - Proceedings - International Conference on Pattern Recognition
SP - 3050
EP - 3053
BT - ICPR 2012 - 21st International Conference on Pattern Recognition
T2 - 21st International Conference on Pattern Recognition, ICPR 2012
Y2 - 11 November 2012 through 15 November 2012
ER -