We address the problem of text super-resolution: given a single image of text scanned in at low resolution from a piece of paper, return the image that is mostly likely to be gene...
Knowing the background image of a video scene simplifies the general video-object segmentation problem and therefore it is required by several automatic segmentation algorithms. T...
Dirk Farin, Peter H. N. de With, Wolfgang Effelsbe...
This paper proposes a statistic framework for segmenting textured areas over real images by discriminant snakes. Our active contour model has the ability to learn different textur...
In this paper we examine the applicability of the previously proposed Greatest Common Divisor (GCD) method to blind image deconvolution. In this method, the desired image is appro...
By examining the problem of image correspondence (binocular stereo and optical flow) and its relationship with other modules such as segmentation, shape and depth estimation, occ...