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Journal of Imaging, Volume 6, Issue 2

2020 February - 3 articles

Cover Story: Block matching is a fundamental tool of searching for blocks (patches) similar to a given query. Generally, a full search (FS) algorithm that exhaustively compares all the pixel intensities of all candidates overlapping each other is the most accurate, but requires vast computation—especially in multichannel images. To address this problem, we propose a three-dimensional orthonormal tree-structured Haar transform assuring the same accuracy as the FS. Using a three-dimensional integral image, the proposed method saves time significantly. This huge saving in computation time can enable new applications of block matching in multichannel images, which were not previously feasible due to the prohibitive computational complexity. View this paper
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J. Imaging - ISSN 2313-433X
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