Chang Feng-Ju, Pei Soo-Chang, Chao Wei-Lun
Graduate Institute of Communication Engineering, National Taiwan University, Taipei 10617, Taiwan.
J Opt Soc Am A Opt Image Sci Vis. 2012 Oct 1;29(10):2217-25. doi: 10.1364/JOSAA.29.002217.
In this paper, a robust illuminant estimation algorithm for color constancy is proposed. Considering the drawback of the well-known max-RGB algorithm, which regards only pixels with the maximum image intensities, we explore the representative pixels from an image for illuminant estimation: The representative pixels are determined via the intensity bounds corresponding to a certain percentage value in the normalized accumulative histograms. To achieve the suitable percentage, an iterative algorithm is presented by simultaneously neutralizing the chromaticity distribution and preventing overcorrection. The experimental results on the benchmark databases provided by Simon Fraser University and Microsoft Research Cambridge, as well as several web images, demonstrate the effectiveness of our approach.
本文提出了一种用于颜色恒常性的鲁棒光源估计算法。考虑到著名的最大RGB算法仅考虑具有最大图像强度的像素这一缺点，我们从图像中探索代表性像素用于光源估计：通过归一化累积直方图中对应于特定百分比值的强度界限来确定代表性像素。为了获得合适的百分比，提出了一种迭代算法，该算法通过同时中和色度分布并防止过度校正来实现。在西蒙弗雷泽大学和微软剑桥研究院提供的基准数据库以及一些网络图像上的实验结果证明了我们方法的有效性。
