The block-matching with 3D transform domain collaborative filtering (BM3D) achieves very good performance in image denoising. However, BM3D becomes ineffective when an image is heavily contaminated by noise. This is because it allows block-matching to search out of the region where a template block is located, resulting in poor matching. To address this, this paper proposes a bounded BM3D schem...

The paper aims at developing a hierarchical algorithm for matching a given template of × on an image of × pixels partitioned into equal sized blocks of × 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 participation ...

In this paper, we propose fast block matching criteria to reduce the implementation complexity of motion estimation in VLSI video coders. Based on generalized quantization of pixel difference measures, the block matching criteria combined with bitmap exclusive-OR (XOR) concept can be realized by short length adders and a multi-input binary counter. The proposed approach can be treated as a gene...

A multilevel motion model-based approach to ultrasonic speckle tracking has been developed that addresses the inherent trade-offs associated with traditional single-level block matching (SLBM) methods. The multilevel block matching (MLBM) algorithm uses variable matching block and search window sizes in a coarse-to-fine scheme, preserving the relative immunity to noise associated with the use o...