Multi-color balancing for correctly adjusting the intensity of target colors

Abstract

In this paper, we propose a novel multi-color balance method for reducing color distortions caused by lighting effects. The proposed method allows us to adjust three target-colors chosen by a user in an input image so that each target color is the same as the corresponding destination (benchmark) one. In contrast, white balancing is a typical technique for reducing the color distortions, however, they cannot remove lighting effects on colors other than white. In an experiment, the proposed method is demonstrated to be able to remove lighting effects on selected three colors, and is compared with existing white balance adjustments.

N-White Balancing: White Balancing for Multiple Illuminants Including Non-Uniform Illumination

“…Multi-color balance adjustments [8], [38] have been proposed to consider adjusting multiple colors under single illuminants, while single-illuminant WB considers adjusting a single color (i.e., white). In these methods, multiple colors are used for designing a non-diagonal matrix that maps the multiple colors into ground truth colors.…”

“…Multi-color balance adjustments [8], [38], [39] have been proposed to consider correcting various colors. In these methods, multiple colors are used for designing a matrix that maps multiple colors into ground truth colors.…”

Multi-Color Balance For Color Constancy

“…However, even when we correctly estimate white regions, colors other than white still include lighting effects. Therefore, methods for reducing lighting effects for all colors have been investigated as in [6,[13][14][15][16][17][18][19][20]. von Kries's [13] and Bradford's [14] color appearance models were proposed to improve this problem under the framework of white-balancing.…”