The paper aims at developing a hierarchical algorithm for matching a given template of m × non an image of M × N pixels partitioned into equal sized blocks of m × n pixels. The algorithm employs a fuzzy metric to measure the dispersion of individual feature of a block with respect to that of the template. A fuzzy threshold, preset by the user, is employed to restrict less likely blocks from par...

In this work a new version of block-matching and 3D filtering (BM3D) denoising approach introduced by Dabov et al. for denoising the image corrupted by additive white Gassian noise is proposed. The BM3D performs collaborative filtering to the 3D image groups composed by similar image blocks with the fixed hard-thresholding operator. The proposed version of BM3D adopts adaptive block-matching th...

The Motion estimation is an effective method for removing temporal redundancyfound in video sequence compression. Block Matching algorithm has been widely used in motion estimation and a number of fast algorithms have proposed to reduce the computational complexity of BMA. In this paper we propose a new search strategy for fast block matching based on Four-Neighborhood Search (FNS) and fast com...

Since motion estimation via block matching is an ill-posed problem, it requires the use of smoothness constraints to regularize the motion field. The block matching error and smoothness constraints together form an energy expression to be minimized. Motion vectors (MVs) from a candidate set are used to determine which MV minimizes the overall energy. These MVs, which may consist of spatial or t...