Image inpainting algorithm based on contour features and improved MVSC
Zhen Hua, Yewei Li · 2010
Image inpainting is an important content in the image recovery research area, and also is a research hot spot in the computer graphics and computer vision in the current. Two major categories image inpainting techniques are introduced. After Pre-processing, we get gray image and using contour extraction algorithm to extract the contour features of damaged area, which determine the contour feature location. Area-based matching algorithm is used to search alternative matching area. Contour-based Similarity Distance function (CSD) is used to determine the most similar matching area. According to the damaged area and the matching area, the source cloning domains and target cloning domains of MVSC algorithm is improved. Using mean value coordinates to achieve regional pixel cloning from the source cloning domain to the target cloning domain. Finally, the improved MVSC algorithm is used to repair the image. Experimental results verified that the method can not only repair small-scale scratches, but also repair a large area damaged areas.