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Considering no previous literature reveals the effectiveness of image similarity coherent with corresponding illuminant in color constancy, we propose an edge-moment-based algorithm using regularized regression in an illumination-coherent space in a divide-and-conquer way. To represent the scene images, we adopt color edge moments which are then projected into an illumination-coherent space using canonical correlation analysis (CCA). Further, a mixture of Gaussians (MoG) model is exploited to construct consistent subspaces, in each of w