Improved gray world algorithm based on salient detection

Abstract

Gray World algorithm is a classical method of Color Constancy, which is based on the assumption that the average reflectance of surfaces in the world is achromatic, but it usually fails when the image has a large dominant color patch. In this paper, we propose an improved algorithm based on Salient Detection to achieve Color Constancy, which can cover the aforementioned shortage of the Gray World algorithm. The extensive validation of our method on commonly used dataset which includes images under varying illumination conditions is presented. Experimental results demonstrated that our method is robust to the choice of dataset and at least as good as current state-of-the-art Color Constancy approaches. © Springer-Verlag Berlin Heidelberg 2013.