Implementation of Exemplar based Image in Painting Using Object Removal

Abstract

Exemplar-based image inpainting is a method for filling in missing or damaged regions of an image by searching for similar patches in the surrounding area and copying them into the damaged region. This paper presents a algorithm for removing objects from digital photographs and replacing them with visually plausible backgrounds. The algorithm effectively hallucinates new colour values for the target region in a way that looks reasonable to the human eye. note that exemplar-based texture synthesis contains the essential process required to replicate both texture and structure; the success of structure propagation, however, is highly dependent on the order in which the filling proceeds. The algorithm presented here combines the strengths of both approaches. As with inpainting, we pay special attention to linear structures. But, linear structures abutting the target region only influence the fill order of what is at core an exemplar-based texture synthesis algorithm. The result is an algorithm that has the efficiency and qualitative performance of exemplar-based texture synthesis, but which also respects the image constraints imposed by surrounding linear structures.