The art of recovering an image from damage in an undetectable form is known as inpainting. The manual work of inpainting is most often a very time consuming process. Due to digitalization of this technique, it is automatic and faster. In this paper, after the user selects the regions to be reconstructed, the algorithm automatically reconstruct the lost regions with the help of the information s...

In this article an application of the inpainting algorithm for recovering packet losses from transmitting sequential quad tree compressed images over wireless sensor networks is presented. The aim of the proposed scheme is to reconstruct the missing information at the receiver side, based on the inpainting algorithm, instead of increasing the overhead of the network by requesting from the trans...

The JDHC scheme not only focuses on the high hiding capacity and recovery quality, it also integrates the image compression and data hiding into a single module. joint datahiding and compression scheme by using SMVQ and PDE-based image inpainting. Image Inpainting refers to methods which consist with filling-in disappeared regions in a picture. Inpainting for digital images has found applicatio...

Object removal by image inpainting aims at the visual uniformity of the inpainted blanks among their surroundings. Most inpainting algorithms pursue the structure continuity and texture similarity only in color. In this paper we take the view depth continuity into account and propose a depth-guided inpainting algorithm, in which a single color image and its associated disparity map are inpainte...

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 the process of filling in missing regions in an image. The objective of inpainting is to reconstruct the missing regions in a visually plausible way. Several algorithms

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...

Due to the changes in viewpoint, holes may appear in the novel view synthesized by depth-image-based rendering (DIBR). A hole-filling method combining disparity-mapbased hole-filling and inpainting is proposed. The method first eliminates matching errors in destination image according to the disparity map. Then, holes are classified into different types according to their sizes. Finally, a disp...

In this paper, we analyze if cascade usage of the context encoder with increasing input can improve the results of the inpainting. For this purpose, we train context encoder for 64x64 pixels images in a standard way and use its resized output to fill in the missing input region of the 128x128 context encoder, both in training and evaluation phase. As the result, the inpainting is visibly more p...

This paper focuses a method for cloud detection and their reconstruction technique. Detecting these portions of an image and then filling in the missing data is an important photo editing work. The filling-in approach such as inpainting techniques, which aim at filling holes in remote sensing images by propagating surrounding structures and texture information. Inpainting technique is a novel m...