Image inpainting or image completion refers to the process of filling in the missing data of an image in a visually plausible way. Given a natural scene input image with selected target regions, both the geometrical property and texture information should be propagated from the known parts of image into the target regions. Exemplar-based model fills the target region using the source exemplars ...

Motivated by the recent work on image inpainting in pixel domain using tight frame in [3], we propose a unified iterative frame-based algorithm for inpainting compressed images to recover missing bits or missing coefficients during the compression process. Such an inpainting algorithm could be applied to any image compression scheme based on coefficients thresholding and quantization in some tr...

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, ...

In this paper we propose to use inpainting to estimate the severity of atherosclerotic plaques from X-ray projections. Inpainting allows to "remove" the plaque and estimate what the background image for an uncalcified aorta would have looked like. A measure of plaque severity can then be derived by subtracting the inpainting from the original image. In contrast to the current standard of catego...

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 is the filling in of missing or damaged regions of images using information from surrounding areas. We outline here the use of a model for binary inpainting based on the Cahn-Hilliard equation, which allows for fast, efficient inpainting of degraded text, as well as super-resolution of high contrast images.

AbstractImage inpainting or image retouching is the method of filling in or repairing the missing area of an image from the nearby pixels information by some algorithm. Its goal is to recover images with limited data loss and tries to obtain outputs of damaged area of an image in such a way that the recovered images look identical to original image. In our proposed method we will divide the dam...

-Inpainting is the process of reconstructing lost or deteriorated part of images based on the background information. i. e .it fills the missing or damaged region in an image utilizing spatial information of its neighboring region. Inpainting algorithm have numerous applications. It is helpfully used for restoration of old films and object removal in digital photographs. The main goal of the al...

Image inpainting is the process of restoring the lost or damaged regions or modifying the image contents imperceptibly. It refers to the process of filling-in missing data in a designated region of the visual input. In this paper, the technique presented is for detection and removal of text from images. The system detects text using morphological operations, connected component labelling and a ...