Real-Time Bilateral Filtering Using GPGPU

Sanun Srisuk; Wachirapong Kesjindatanawaj; Surachai Ongkittikul

doi:10.4028/www.scientific.net/AMM.781.568

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 781Real-Time Bilateral Filtering Using GPGPU

Real-Time Bilateral Filtering Using GPGPU

Abstract:

In this paper, we present a technique for accelerating the bilateral filtering using GPGPU. Bilateral filtering is a tool for an image smoothing with edge preserving properties. It serves as a mixture of domain and range filters. Domain filter suppresses Gaussian noise while range filter maintains sharp edges. Bilateral filtering is a nonlinear filtering in which the filter kernel must be computed pixel by pixel. Therefore conventional fast Fourier transform technique cannot be used to accelerate the bilateral filtering. Instead, general purpose GPU is used as a parallel machine to reduce time consuming of the bilateral filtering. We will show the experimental results by comparing the computation time of CPU and GPU. It was cleared that, from the experimental results, GPU outperformed the CPU in terms of computation time.

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Periodical:

Applied Mechanics and Materials (Volume 781)

Pages:

568-571

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.781.568

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Online since:

August 2015

Authors:

Sanun Srisuk*, Wachirapong Kesjindatanawaj, Surachai Ongkittikul

Keywords:

Bilateral Filtering, GPGPU, Parallel Processing

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* - Corresponding Author

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