Video Inpainting for Vintage Film with Continuous Large Damaged Regions

Abstract

The vintage films may contain large regions of damaged content which is hard to be restored. To solve this problem, we proposed an video inpainting algorithm depended on the optimization of a global, patch-based functional. Our method is divided into three steps. Firstly, we use color transfer to normalize the average intensity of each frame. Then, we take a non-local patch-based approach to search the nearest neighbor of the damaged region using their information to reconstruct the occlusion. Finally, to those unsatisfactory results due to the lack of information we use the deep neural network interpolation algorithm to achieve a coherent effect. The proposed method has been tested on different types of vintage film sequences and proved to be effective.