Novel Bound Setting Algorithm for Occluded Region Reconstruction for Reducing the Inpainting Complexity under Extreme Conditions

Inpainting technique has been widely used for reconstructing damaged old photographs and removing unwanted objects from images. In this paper, we present a novel significant preprocessing step for periphery frontier setting technique which alleviates the process of image inpainting to a great extent. Our method improves the robustness and effectiveness by rational confidence computing method, matching strategy and filling scheme. Therefore, our method effectively prevents ―growing garbage‖, which is a common problem in other methods. With our method, we can obtain preferable results to those obtained by other similar methods.