In this paper a new image completion algorithm, specifically designed to work with building textures, is proposed. It uses high periodicity, inherent to building textures, to estimate a floor size. The usage of this estimate speeds up image completion process, allowing dealing with high texture resolutions, and helps to capture the macrostructure of the texture. Results and some ideas for furth...

Visual curve completion is typically handled in an axiomatic fashion where the shape of the sought-after completed curve follows formal descriptions of desired, image-based perceptual properties (e.g, minimum curvature, roundedness, etc...). Unfortunately, however, these desired properties are still a matter of debate in the perceptual literature. Instead of the image plane, here we study the p...

In this paper we propose a novel technique to image completion that addresses image renaissance through a graph-based matching process. To this end, a number of candidate seeds with content similar to the one of the area to be inpainted are considered. They are selected through a particle filter method and then positioned over the missing area. Markov Random Fields are used to formalize inpaint...

We study a variational model for image amodal completion, i.e., the recovery of missing or damaged portions of a digital image by technics inspired by the well-known amodal completion process in human vision. Representing the image by a real-valued function and following an idea initially proposed in [32], our approach consists in finding a set of interpolating level lines which is optimal with...