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Communication Dans Un Congrès Année : 2015

Optimizing the Data Adaptive Dual Domain Denoising Algorithm

Résumé

This paper presents two new strategies that greatly improve the execution time of the DA3D Algorithm, a new denoising algorithm with state-of-the-art results. First, the weight map used in DA3D is implemented as a quad-tree. This greatly reduces the time needed to search the minimum weight, greatly reducing the overall computation time. Second, a simple but effective tiling strategy is shown to work in order to allow the parallel execution of the algorithm. This allows the implementation of DA3D in a parallel architecture. Both these improvements do not affect the quality of the output.
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Dates et versions

hal-01240855 , version 1 (10-12-2015)

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Citer

Nicola Pierazzo, Jean-Michel Morel, Gabriele Facciolo. Optimizing the Data Adaptive Dual Domain Denoising Algorithm. CIARP, 2015, Montevideo, Uruguay. ⟨10.1007/978-3-319-25751-8_43⟩. ⟨hal-01240855⟩
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