The image restoration method based on image segmentation and multiple feature fusion

According to the lack of time consuming of global searching and considering only color error of image restoration algorithm based on the sample proposed by Criminisi, this paper proposes an improved image restoration method, which narrows search range of the optimal matching block according to segmentation pretreatment of the original image;and uses new matching criterion based on the color - structure - distance feature, through the fusion of D-S evidence theory,to determine the optimal matching block. The experimental result has showed the method not only can improve the image quality, but also can shorten the time of image restoration.