image denoising by block matching and threedimensionaltransform filtering (bm3d) is a two steps state-ofthe-art algorithm that uses the redundancy of similar blocks innoisy image for removing noise. similar blocks which can havesome overlap are found by a block matching method and groupedto make 3-d blocks for 3-d transform filtering. in this paper wepropose a new block grouping algorithm in th...

This paper presents a generic method for perceptual grouping, and an analysis of its expected grouping quality. The grouping method is fairly general: it may be used for the grouping of various types of data features, and to incorporate diierent grouping cues, operating over feature sets of diierent sizes. The proposed method is divided into two parts: Constructing a graph representation of the...

Behavioral studies suggest that perceptual grouping by proximity occurs earlier than grouping by similarity. This notion is supported by recent electrophysiological evidence that proximity grouping generates earlier occipital activation relative to grouping by shape similarity. The current work further investigated neural substrates that differentiate grouping by proximity and grouping by colou...