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 |
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| Title of host publication | ICPR 2012 - 21st International Conference on Pattern Recognition |
| Pages | 3050-3053 |
| Number of pages | 4 |
| Publication status | Published - 2012 Dec 1 |
| Event | 21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan Duration: 2012 Nov 11 → 2012 Nov 15 |
Publication series
| Name | Proceedings - International Conference on Pattern Recognition |
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| ISSN (Print) | 1051-4651 |
Other
| Other | 21st International Conference on Pattern Recognition, ICPR 2012 |
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| 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
Shirai, K., Okuda, M., & Ikehara, M. (2012). Color-line vector field and local color component decomposition for smoothing and denoising of color images. In ICPR 2012 - 21st International Conference on Pattern Recognition (pp. 3050-3053). [6460808] (Proceedings - International Conference on Pattern Recognition).