An exploration of digital image inpainting techniques

Abstract

This paper gives an overview of different digital Image Inpainting techniques used contemporarily for image restoration and enhancement process. Inpainting, dis-occlusion, image completion, retouching and filling-in are different terms for the same task: if an image is given with a missing section, the values in the missing area has to be restored by its values in an undetectable way. The patches are filled in from the neighbouring pixels. Inpainting can be used for removal of objects from an image also. Inapainting techniques are made more sophisticated by applying Neural Network and Fuzzy logic for fast and accurate filling of patches.