A color constancy model with minimum brightness variance assumption

Naoya Hasebe; Mikiya Hironaga; Takashi Toriu

doi:10.1117/12.2179753

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4 March 2015 A color constancy model with minimum brightness variance assumption

Naoya Hasebe, Mikiya Hironaga, Takashi Toriu

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Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 944330 (2015) https://doi.org/10.1117/12.2179753
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China

Abstract

The realization of color constancy on computer vision is important to recognize objects in varying light sources. This paper proposes a method to estimate the illuminant under the “Minimum Brightness Variance Assumption” which states that the variation of the brightness of the objects is as small as possible. In this method, the illuminant is estimated to be red when the red part of the object in the scene is bright. In detail, we define an evaluation function to calculate the variance of the brightness in the scene and we minimize the evaluation function to estimate the color of the illuminant and the color of the object. We conducted experiments with synthetic images and confirmed that the proposed method works well to reduce the influence of the illuminant for the objects in the scene.

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Naoya Hasebe, Mikiya Hironaga, and Takashi Toriu "A color constancy model with minimum brightness variance assumption", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944330 (4 March 2015); https://doi.org/10.1117/12.2179753

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