Comparing GPU Implementations of Bilateral and Anisotropic Diffusion Filters for 3D Biomedical Datasets | Zendy

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Comparing GPU Implementations of Bilateral and Anisotropic Diffusion Filters for 3D Biomedical Datasets

Author(s) -

Mark Howison

Publication year - 2010

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/983280

Subject(s) - cuda , implementation , computer science , anisotropic diffusion , noise reduction , algorithm , diffusion , parallel computing , anisotropy , computational science , computer engineering , artificial intelligence , physics , image (mathematics) , quantum mechanics , thermodynamics , programming language

We compare the performance of hand-tuned CUDA implementations of bilateral and anisotropic diffusion filters for denoising 3D MRI datasets. Our tests sweep comparable parameters for the two filters and measure total runtime, memory bandwidth, computational throughput, and mean squared errors relative to a noiseless reference dataset.

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