IEICE TRANSACTIONS on Information
Color Constancy Based on Effective Regions
Summary :
None of the existing color constancy algorithms can be considered universal. Furthermore, they use all the image pixels, although actually not all of the pixels are effective in illumination estimation. Consequently, how to select a proper color constancy algorithm from existing algorithms and how to select effective(or useful) pixels from an image are two most important problems for natural images color constancy. In this paper, a novel Color Constancy method using Effective Regions (CCER) is proposed, which consists of the proper algorithm selection and effective regions selection. For a given image, the most proper algorithm is selected according to its Weilbull distribution while its effective regions are chosen based on image similarity. The experiments show promising results compared with the state-of-the-art methods.
- Publication
- IEICE TRANSACTIONS on Information Vol.E91-D No.7 pp.2091-2094
- Publication Date
- 2008/07/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e91-d.7.2091
- Type of Manuscript
- LETTER
- Category
- Image Recognition, Computer Vision
Authors
Keyword
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Rui LU, De XU, Xinbin YANG, Bing LI, "Color Constancy Based on Effective Regions" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 7, pp. 2091-2094, July 2008, doi: 10.1093/ietisy/e91-d.7.2091.
Abstract: None of the existing color constancy algorithms can be considered universal. Furthermore, they use all the image pixels, although actually not all of the pixels are effective in illumination estimation. Consequently, how to select a proper color constancy algorithm from existing algorithms and how to select effective(or useful) pixels from an image are two most important problems for natural images color constancy. In this paper, a novel Color Constancy method using Effective Regions (CCER) is proposed, which consists of the proper algorithm selection and effective regions selection. For a given image, the most proper algorithm is selected according to its Weilbull distribution while its effective regions are chosen based on image similarity. The experiments show promising results compared with the state-of-the-art methods.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.7.2091/_p
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@ARTICLE{e91-d_7_2091,
author={Rui LU, De XU, Xinbin YANG, Bing LI, },
journal={IEICE TRANSACTIONS on Information},
title={Color Constancy Based on Effective Regions},
year={2008},
volume={E91-D},
number={7},
pages={2091-2094},
abstract={None of the existing color constancy algorithms can be considered universal. Furthermore, they use all the image pixels, although actually not all of the pixels are effective in illumination estimation. Consequently, how to select a proper color constancy algorithm from existing algorithms and how to select effective(or useful) pixels from an image are two most important problems for natural images color constancy. In this paper, a novel Color Constancy method using Effective Regions (CCER) is proposed, which consists of the proper algorithm selection and effective regions selection. For a given image, the most proper algorithm is selected according to its Weilbull distribution while its effective regions are chosen based on image similarity. The experiments show promising results compared with the state-of-the-art methods.},
keywords={},
doi={10.1093/ietisy/e91-d.7.2091},
ISSN={1745-1361},
month={July},}
Copy
TY - JOUR
TI - Color Constancy Based on Effective Regions
T2 - IEICE TRANSACTIONS on Information
SP - 2091
EP - 2094
AU - Rui LU
AU - De XU
AU - Xinbin YANG
AU - Bing LI
PY - 2008
DO - 10.1093/ietisy/e91-d.7.2091
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2008
AB - None of the existing color constancy algorithms can be considered universal. Furthermore, they use all the image pixels, although actually not all of the pixels are effective in illumination estimation. Consequently, how to select a proper color constancy algorithm from existing algorithms and how to select effective(or useful) pixels from an image are two most important problems for natural images color constancy. In this paper, a novel Color Constancy method using Effective Regions (CCER) is proposed, which consists of the proper algorithm selection and effective regions selection. For a given image, the most proper algorithm is selected according to its Weilbull distribution while its effective regions are chosen based on image similarity. The experiments show promising results compared with the state-of-the-art methods.
ER -
English
