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Parallelization of a Block-Matching Algorithm

Matteo Maggioni
Tampere University of Technology
Tampere University of Technology, 2012

@article{maggioni2012parallelization,

   title={Parallelization of a Block-Matching Algorithm},

   author={Maggioni, M.},

   year={2012}

}

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In this work we present a parallelization technique, together with its GPU implementation, for the full-search block-matching algorithm. This problem consists in finding the block that best matches a given reference template in terms of some photometric measure within a predefined search area. Block matching is a fundamental processing step for many signal-processing applications. Its high computational burden and relative easy definition naturally demand for efficient and possibly parallel implementations. We compare the execution time of a GPU and CPU implementation; experimental results prove the effectiveness of executing the block-matching algorithm on GPU.
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