Edge-Based Color Constancy

@article{citeulike:1569432, abstract = {<para> Color constancy is the ability to measure colors of objects independent of the color of the light source. A well-known color constancy method is based on the gray-world assumption which assumes that the average reflectance of surfaces in the world is achromatic. In this paper, we propose a new hypothesis for color constancy namely the gray-edge hypothesis, which assumes that the average edge difference in a scene is achromatic. Based on this hypothesis, we propose an algorithm for color constancy. Contrary to existing color constancy algorithms, which are computed from the zero-order structure of images, our method is based on the derivative structure of images. Furthermore, we propose a framework which unifies a variety of known (gray-world, max-RGB, Minkowski norm) and the newly proposed gray-edge and higher order gray-edge algorithms. The quality of the various instantiations of the framework is tested and compared to the state-of-the-art color constancy methods on two large data sets of images recording objects under a large number of different light sources. The experiments show that the proposed color constancy algorithms obtain comparable results as the state-of-the-art color constancy methods with the merit of being computationally more efficient. </para>}, author = {van de Weijer, J. and Gevers, T. and Gijsenij, A. }, booktitle = {Image Processing, IEEE Transactions on}, citeulike-article-id = {1569432}, journal = {Image Processing, IEEE Transactions on}, keywords = {image\_segmentation}, number = {9}, pages = {2207--2214}, posted-at = {2007-08-16 15:13:51}, priority = {3}, title = {Edge-Based Color Constancy}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=4287009}, volume = {16}, year = {2007} }

TY - JOUR ID - citeulike:1569432 L3 - citeulike-article-id:1569432 TI - Edge-Based Color Constancy T2 - Image Processing, IEEE Transactions on JF - Image Processing, IEEE Transactions on VL - 16 IS - 9 SP - 2207 EP - 2214 N2 - <para> Color constancy is the ability to measure colors of objects independent of the color of the light source. A well-known color constancy method is based on the gray-world assumption which assumes that the average reflectance of surfaces in the world is achromatic. In this paper, we propose a new hypothesis for color constancy namely the gray-edge hypothesis, which assumes that the average edge difference in a scene is achromatic. Based on this hypothesis, we propose an algorithm for color constancy. Contrary to existing color constancy algorithms, which are computed from the zero-order structure of images, our method is based on the derivative structure of images. Furthermore, we propose a framework which unifies a variety of known (gray-world, max-RGB, Minkowski norm) and the newly proposed gray-edge and higher order gray-edge algorithms. The quality of the various instantiations of the framework is tested and compared to the state-of-the-art color constancy methods on two large data sets of images recording objects under a large number of different light sources. The experiments show that the proposed color constancy algorithms obtain comparable results as the state-of-the-art color constancy methods with the merit of being computationally more efficient. </para> KW - image_segmentation AU - van de Weijer, J AU - Gevers, T AU - Gijsenij, A PY - 2007/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4287009 ER -