In the modern world of digitalization peoples are trying to preserve their memories event in the format of pictures. But fact is that as time passes this image may get corrupted. Images are damages due to cracks, noise and it may possible that some unwanted person also came in image. So recovery of this corrupted image becomes the necessary for preserving this image. Inpainting is art of modify...

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 automatically restores damaged images and partially removed pictures. Since most inpainting mechanisms inpaint damaged portions in a single layer, this study proposes a multilayer inpainting mechanism by examining how Chinese paintings are drawn in layers. The proposed multilayer inpainting mechanism employs a layer fusion strategy to detect the optimal inpaint combination amon...

In many cases inpainting methods introduce a blur in sharp transitions in image and image contours in the recovery of large areas with missing pixels and often fail to recover curvy boundary edges. Quantitative metrics of inpainting results currently do not exist and researchers use human comparisons to evaluate their methodologies and techniques. Most objective quality assessment methods rely ...

The filling-in effect of diffusion processes has been successfully used in many image analysis applications. Examples include image reconstructions in inpainting-based compression or dense optic flow computations. As an interesting side effect of diffusion-based inpainting, the interpolated data are smooth, even if the known image data are noisy: Inpainting averages information from noisy sourc...

Video CAPTCHA improves the usability while reducing the attack success rate compared to a conventional text-based CAPTCHA. However, it remains vulnerable to OCR attacks. Thus, we proposed to use inpainting algorithms to remove the contained text in the video frames, so that the OCR success rate can be reduced without introducing unwanted artifacts that displease the endusers. We implemented Ber...

Image Segmentation and Its Applications Based on the Mumford-Shah Model Xiaojun Du, Ph.D. Concordia University, 2011 Image segmentation is an important topic in computer vision and image processing. As a region-based (global) approach, the Mumford and Shah (MS) model is a powerful and robust segmentation technique as compared to edge-based (local) methods. In this thesis we apply the MS model t...

An edge-sensitive variational approach for the restoration of optical flow fields is presented. Real world optical flow fields are frequently corrupted by noise, reflection artifacts or missing local information. Still, applications may require dense motion fields. In this paper, we pick up image inpainting methodology to restore motion fields, which have been extracted from image sequences bas...