Color Transfer Based on Frequency Tuning

Abstract

Color transfer has always been an important topic in the field of image processing. The existing color transfer methods often have problems such as loss of detail, lack of hierarchy and color mistransmission. Therefore, a color transfer algorithm based on frequency tuning is proposed in this paper. Firstly, the significance detection method of frequency tuning is introduced to separate the significant region and non significant region of the image. Secondly, the color transfer algorithm adopts the principle of probability density histogram transfer, which can achieve accurate color transfer, and greatly reduce the complexity of the algorithm and the kernel load required by the algorithm. Finally, in order to reduce the graininess of the resulting image, a gradient filter is introduced to smooth the image, which greatly improves the visual effect of the image. Experimental analysis shows that, compared with the traditional color transfer algorithm, the color transfer algorithm used in this paper makes the resulting image visual effect better, the sense of hierarchy richer, the details can be retained more, there will be no color mistransmission, the image as a whole is more natural and has a wide range of application.