Title :
Nondiagonal color correction
Author :
Funt, Brian ; Jiang, Hao
Author_Institution :
Sch. of Comput. Sci., Simon Fraser Univ., Vancouver, BC, Canada
Abstract :
A new color correction method is introduced which predicts how changing the color of the scene illuminant will affect a camera´s RGB response. Like diagonal transformation color correction methods, the new method requires only 3-parameters. It therefore requires only the RGB color of the two illuminants be known. The method models the 9-parameters of a 3-by-3 linear transformation using a 3-dimensional linear model composed of 3 basis transformations. Experiments show that the method works better than the standard diagonal model unless the camera sensors are very sharply peaked, in which case the performance is essentially unchanged.
Keywords :
cameras; image colour analysis; principal component analysis; 3-dimensional linear model; PCA; camera sensors; linear transformation; nondiagonal color correction; Color; Digital cameras; Digital images; Equations; Humans; Image sensors; Layout; Lighting; Principal component analysis; Transforms;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1247003