Several image processing algorithms imitate the lateral interaction of neurons in the visual striate cortex V1 to account for the correlations along contours and lines. Here we focus on two methodologies: tensor voting by Guy and Medioni, and stochastic completion fields by Mumford, Williams and Jacobs. The objective of this article is to compare these two methods and to place them into a commo...

We propose a framework for temporally consistent video completion. To this end we generalize the exemplar-based inpainting method of Criminisi et al . [7] to video inpainting. Specifically we address two important issues: Firstly, we propose a color and optical flow inpainting to ensure temporal consistency of inpainting even for complex motion of foreground and background. Secondly, rather tha...

In this paper we present an implementation of a perceptual completion model performed in the three dimensional space of position and orientation of level lines of an image. We show that the space is equipped with a natural subriemannian metric. This model allows to perform disocclusion representing both the occluding and occluded objects simultaneously in the space. The completion is accomplish...

A geometric model for segmentation of images with missing boundaries is presented. Some classical problems of boundary completion in cognitive images, like the pop up of subjective contours in the famous triangle of Kanizsa, are faced from a surface evolution point of view. The method is based on the mean curvature evolution of a graph with respect to the Riemannian metric induced by the image....

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 ...

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...

In this paper, a new framework for construction of Cardan grille for information hiding is proposed. Based on the semantic image inpainting technique, the stego image are driven by secret messages directly. A mask called Digital Cardan Grille (DCG) for determining the hidden location is introduced to hide the message. The message is written to the corrupted region that needs to be filled in the...

Image generation has received increasing attention because of its wide application in security and entertainment. Sketch-based face brings more fun better quality image due to supervised interaction. However, when a sketch poorly aligned with the true is given as input, existing image-to-image translation methods often cannot generate acceptable photo-realistic images. To address this problem, ...