DocumentCode :
2239445
Title :
Color recovery from biased illumination: color constancy
Author :
Hwang, Po-Wie ; Chen, Yung-Sheng ; Cheng, Fang-hsuan ; Hsu, Wen-Hsing
Author_Institution :
Inst. of Electr. Eng., Nat. Tsing-Hua Univ., Hsinchu, Taiwan
fYear :
1993
fDate :
15-17 Jun 1993
Firstpage :
631
Lastpage :
632
Abstract :
An algorithm for achieving color constancy is presented. The algorithm consists of four models: the finite-dimensional model, the homomorphic model, the statistical model, and the recovery model. From them, it is possible to estimate the surface reflectance, even when the spectral distribution of the ambient light is unknown. Thus color constancy can be achieved under biased illumination. To prove the correctness of the authors´ algorithm, some experiments are conducted under different illuminative conditions
Keywords :
colour; image processing; lighting; reflectivity; spectral analysis; ambient light; biased illumination; color constancy; colour recovery; finite-dimensional model; homomorphic model; spectral distribution; statistical model; surface reflectance; Color; Distributed computing; Eyes; Humans; Information science; Layout; Lighting; Power distribution; Reflectivity; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
ISSN :
1063-6919
Print_ISBN :
0-8186-3880-X
Type :
conf
DOI :
10.1109/CVPR.1993.341053
Filename :
341053
Link To Document :
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