Multiple Reference Images Color Transfer Based on Improved GMM Model

Color transfer is to change the image color according to one or more reference images to match people’s cognition. Usually, there are two problems deserved to be researched further. One is to find suitable reference colors for a complex image. The other is to lessen the details loss in the process. In the paper, GMM model is improved by considering the geometric position relation of the color clustering to construct color transfer intentions between source image and multiple reference images. The geometric coordinate smoothing parameter is introduced to improve EM algorithm to reduce the details loss. Based on Baidu data set and the reference paper data sets, a comparison experiment between typical color transfer algorithms and our method was presented. The experimental results can demonstrate that the algorithm proposed in the paper is reasonable and effective.