Optimization-based approaches for image deblurring and denoising on Graphics processing Units (GPU) are considered. In particular, a new GPU implementation of a recent gradient projection method for edge-preserving removal of Poisson noise is presented. The speedups over standard CPU implementations are evaluated on both synthetic data and astronomical and medical imaging problems.

Gradient projection methods for image deblurring and denoising on graphics processors

ZANELLA, Riccardo;
2010

Abstract

Optimization-based approaches for image deblurring and denoising on Graphics processing Units (GPU) are considered. In particular, a new GPU implementation of a recent gradient projection method for edge-preserving removal of Poisson noise is presented. The speedups over standard CPU implementations are evaluated on both synthetic data and astronomical and medical imaging problems.
2010
9781607505297
gradient projection methods; graphics processing units; Image deblurring; image denoising;
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1407809
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