DocumentCode :
498821
Title :
Color cast removal based on fitting gray-axis
Author :
Yu, Hao ; Wang, Jian ; Yin, Hong-ran
Author_Institution :
Sch. of Sci., Tianjin Univ., Tianjin, China
Volume :
4
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
2394
Lastpage :
2397
Abstract :
Color cast removal is a fundamental preliminary step in image processing. This paper describes a novel algorithm that using least square algorithm to fit the gray-axis firstly, and then removing the cast through a rotation transformation in lab color space. The proposed method has been tested, with positive results, on a large set of images downloaded from related databases or literatures.
Keywords :
image colour analysis; least mean squares methods; color cast removal; database; fitting gray-axis; image processing; lab color space; least square algorithm; Color; Cybernetics; Humans; Image databases; Image processing; Least squares methods; Lighting; Machine learning; Testing; Visual system; Color constancy; color cast removal; fitting; gray-axis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212163
Filename :
5212163
Link To Document :
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