Image inpainting is the process of filling in missing parts of damaged images based on information gleaned from surrounding areas. We consider a model for inpainting binary images using a modified Cahn-Hilliard equation. We prove for the steady state problem that the isophote directions are matched at the boundary of inpainting regions. Our model has two scales, the diffuse interface scale, ε, ...

Image inpainting aims to obtain a visually plausible image interpolation in a region of the image in which data is missing due to damage or occlusion. Usually, the only available information is the portion of the image outside the inpainting domain. Besides its numerous applications, the inpainting problem is of theoretical interest since its analysis involves an understanding of the self-simil...

We present a single-image highlight removal method that incorporates illumination-based constraints into image inpainting. Unlike occluded image regions filled by traditional inpainting, highlight pixels contain some useful information for guiding the inpainting process. Constraints provided by observed pixel colors, highlight color analysis and illumination color uniformity are employed in our...

Image inpainting is a technique for restoring damaged old photographs and removing undesired objects from an image. The basic idea behind the technique is to automatically fill in lost or broken parts of an image using information from the surrounding area. The challenge of current inpainting algorithms is to restore both texture and structure characteristic information for large and thick dama...

Digital inpainting provides a means for reconstruction of damaged portions of an image. Although the inpainting basics are straightforward, most inpainting techniques published in the literature are only suitable for remarkable small portion or smooth color image. In order to avoid such shortcomings, we present a new algorithm for digital reconstruction based on combination of wavelet decomposi...

In this paper, we construct a actual system of image inpainting based on the image inpainting system model[1] which was proposed before, in order to repair more types, more broken images in the different field and restore them more efficiently ,because there is no one “universal” or more general algorithm can repair all types of images. The proposed system integrates the commonly used several t...

Recently, as 3D display devices become popular, automatic editing methods for stereoscopic image become important. In this paper, we propose an inpainting method for a stereoscopic image considering the texture similarity. By extending the conventional image inpainting method for an image considering the texture similarity to for a stereoscopic image by considering the consistency of two images...

Image inpainting is the technique of filling-in damaged regions by the surrounding information without affecting the contents and quality of the image i.e. restoration of an image using computers. Bertalmio proposed the first digital inpainting technique and coined the word ‘inpainting’ to the restoration work of digital images. Digital image inpainting is an interesting research topic and gath...

Image inpainting is a art of missing value or a data in an image. The purpose of image inpainting is to reconstruct missing regions which is visible for human eyes. Image inpainting is the process of reconstructing lost part of images based on the background information. Image inpainting is a technique for restoring damaged old photographs and removing undesired objects from an image. The basic...

This paper discusses the new inpainting algorithm which uses the superpixel constraints with the Exemplar-based inpainting technique for bringing the realistic view in the 3D model developed by the interactive 3D indoor modeler. The inpainting algorithm is exclusively developed for the interactive 3D indoor modeler in which the user can create 3D indoor models from a single photo or multiple ph...