Gradient projection methods for image deblurring and denoising on graphics processors

SERAFINI, Thomas
ZANELLA, RICCARDO
ZANNI, Luca

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Publication date

January 2010

DOI

10.3233/978-1-60750-530-3-59

Publisher

IOS Press

Abstract

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

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Gradient projection methods for image deblurring and denoising on graphics processors

Abstract

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Gradient projection methods for image deblurring and denoising on graphics processors

Abstract

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