The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Nenhum dos algoritmos de constância de cores existentes pode ser considerado universal. Além disso, eles utilizam todos os pixels da imagem, embora na verdade nem todos os pixels sejam eficazes na estimativa de iluminação. Conseqüentemente, como selecionar um algoritmo adequado de constância de cores a partir de algoritmos existentes e como selecionar pixels efetivos (ou úteis) de uma imagem são dois problemas mais importantes para a constância de cores de imagens naturais. Neste artigo, é proposto um novo método de Constância de Cor utilizando Regiões Efetivas (CCER), que consiste na seleção de algoritmo adequado e seleção de regiões efetivas. Para uma determinada imagem, o algoritmo mais adequado é selecionado de acordo com sua distribuição Weilbull enquanto suas regiões efetivas são escolhidas com base na similaridade da imagem. Os experimentos mostram resultados promissores em comparação com os métodos mais modernos.
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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},}
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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 -