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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - International Conference on Pattern Recognition |
| Pages | 3050-3053 |
| Number of pages | 4 |
| Publication status | Published - 2012 |
| Event | 21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan Duration: 2012 Nov 11 → 2012 Nov 15 |
Other
| Other | 21st International Conference on Pattern Recognition, ICPR 2012 |
|---|---|
| Country | Japan |
| City | Tsukuba |
| Period | 12/11/11 → 12/11/15 |
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ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
Cite this
Color-line vector field and local color component decomposition for smoothing and denoising of color images. / Shirai, Keiichiro; Okuda, Masahiro; Ikehara, Masaaki.
Proceedings - International Conference on Pattern Recognition. 2012. p. 3050-3053 6460808.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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
Y1 - 2012
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
UR - http://www.scopus.com/inward/citedby.url?scp=84874555026&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84874555026
SN - 9784990644109
SP - 3050
EP - 3053
BT - Proceedings - International Conference on Pattern Recognition
ER -