Digital image inpainting is a technique used for filling in the disappeared or spoiled regions of an image using information from the surrounding area. Image inpainting provides a means to restore damaged region of an image, such that the image looks complete and natural after the inpainting process. Exemplar-based algorithms are a popular technique for image inpainting, in which two important ...

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...

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...

Inpainting is an image interpolation problem, with broad applications in image and vision analysis. This paper presents our recent efforts in developing inpainting models based on the Bayesian and variational principles. We discuss several geometric image models, their role in the construction of variational inpainting models, and the associated Euler-Lagrange PDEs and their numerical computation.

Image inpainting is a technique of filling unknown image region with known information from the surrounding of the unknown region in such a way that the result is logically accepted. Texture and structure completion in inpainting method is the main challenge in image inpainting and it is still an open problem to be tackled in the near future. In this paper, we propose a new inpainting algorithm...

Given an image where a specified region is unknown, image inpainting or image completion is the problem of inferring the image content in this region. Traditional retouching or inpainting is the practice of restoring aged artwork, where damaged or missing portions are repainted based on the surrounding content to approximate the original appearance. In the context of digital images, inpainting ...

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 introduce a unified framework for the restoration of distorted audio data, leveraging the Image Inpainting concept and covering existing audio applications. In this framework, termed Audio Inpainting, the distorted data is considered missing and its location is assumed to be known. We further introduce baseline approaches based on sparse representations. For this new audio inpainting concept...

Image inpainting refers to the task of filling in the missing or damaged regions of an image in an undetectable manner. Many researchers have proposed a large variety of exemplar based image inpainting algorithms to restore the structure and texture of damaged images. However no recent study has been undertaken for a comparative evaluation of these algorithms. In this paper, we are comparing va...

Given an image and a region Ω inside it, the inpainting problem consists in modifying the image values of the pixels in Ω so that this region does not stand out with respect to its surroundings. The purpose of inpainting might be to restore damaged portions of an image (e.g. an old photograph where folds and scratches have left image gaps) or to remove unwanted elements present in the image (e....