In this article we discuss the implementation of the combined first and second order total variation inpainting that was introduced by Papafitsoros and Schönlieb. We describe the algorithm we use (split Bregman) in detail, and we give some examples that indicate the difference between pure first and pure second order total variation inpainting. Source Code We provide a source code for the algor...

In this paper, we present an image inpainting algorithm based on framelet analysis. The motivation for using framelets is that the redundancy provided by the framelets makes it possible to propagate the accurate information from the vicinity of the region to be inpainted to the inside of the region to be inpainted. This is done by small perturbations of the framelet coefficients via thresholdin...

Image inpainting is an old technique for filling in missing or damaged regions of an image. The general problem is: given an image and a user-defined region of the image to be filled, fill the region in such a manner that one cannot tell that the region has been altered. In this project I have implemented the method proposed by Bertalmio et al in their 2003 paper “Simultaneous Structure and Tex...

Image inpainting is a technique that aims to recovering missing or damaged regions of an image without any manual intervene. Conventional exemplar-based approaches suffer two major defects. One defect is that the inpainting quality heavily depends on the extent of selfsimilarity. If no similar samples exist in the already known region of the image, the missing region may be filled by irrelevant...

The proposed system introduces a novel technique of text detection and removal from the input image as well as video called image inpainting using a cost effective computational technique. The paper discusses about inpainting problem empirically and proposes a new inpainting mechanism where the same algorithm can perform text removal from both image and video. Use of an effective morphological ...

Image inpainting is an image completion technique that has a wide range of applications such as image restoration, object removal and occlusion filling in view synthesis. In this paper, two novel techniques are proposed to enhance the performance of Criminisi’s algorithm, which inpaints images with an exemplarbased approach. First, a gradient-based searching is developed, which drastically lowe...

In this paper, we introduce the concept of parameter identification problems, which are inverse problems, as a methodology to inpainting. More specifically, as a first study in this new direction, we generalize the method of harmonic inpainting by studying an elliptic equation in divergence form where we assume that the diffusion coefficient is unknown. As a first step, this unknown coefficient...

Contemporary benchmark methods for image inpainting are based on deep generative models and specifically leverage adversarial loss for yielding realistic reconstructions. However, these models cannot be directly applied on image/video sequences because of an intrinsic drawbackthe reconstructions might be independently realistic, but, when visualized as a sequence, often lacks fidelity to the or...