Image inpainting is a technique to recover lost data or manually remove data from an image. This process is carried out in such a way that it seems reasonable to human eyes. The lost part of the image is filled with the remaining available data of the image. Inpainting can be done using various techniques, mainly variation based, exemplar based and wavelet based. In this paper, exemplar based i...

This study presents a new image inpainting method based on affine transformation for security. In the traditional image inpainting process, removed object is filled by patches in other regions of the same image. The tamper of the image is easy to be found out by copy-move detection. Thus, the usage of image inpainting in image forgery or other image security field is limited. In this study, the...

This paper present a combined method for image inpainting. Inpainting is the art of modifying an image in a visually plausible manner so that it seems reasonable to the human eye. There are numerous and very different approaches to tackle the inpainting problem, these are based upon one the following basic techniques: copy-and-paste texture synthesis, geometric partial differential equations (P...

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...

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...

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...

In many imaging applications, there exists potential for corruption of the images by sources of structured noise that completely loses original pixel information. The reconstruction of the original image from its corrupted observation is known as image inpainting. This paper seeks to investigate image inpainting using a particular algorithm, the alternating direction method of multipliers (ADMM...

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...

Digital image inpainting pertains to the reconstruction of missing or damaged portions of images in a manner that is not detectable to the observer. This study evaluates the Criminisi algorithm for digital image inpainting and proposes four improvements. First, a new priority function was introduced using piecewise function to adjust the sequence of inpainting process and change the operation u...

Image inpainting is an image restoration problem, in which image models play a critical role, as demonstrated by Chan, Kang and Shen’s recent inpainting schemes based on the bounded variation [10] and the elastica [9] image models. In the present paper, we propose two novel inpainting models based on the MumfordShah image model [37], and its high order correction — the Mumford-Shah-Euler image ...