Color cast removal based on fitting gray-axis

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...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 4; pp. 2394 - 2397
Main Authors Hao Yu, Jian Wang, Hong-Ran Yin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Color
color cast removal
Color constancy
Cybernetics
fitting
gray-axis
Humans
Image databases
Image processing
Least squares methods
Lighting
Machine learning
Testing
Visual system
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Summary: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.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212163