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Gradient projection methods for image deblurring and denoising on graphics processors
Thomas Serafini, Riccardo Zanella, Luca Zanni
59 - 66
10.3233/978-1-60750-530-3-59
Advances in Parallel Computing
Volume 19: Parallel Computing: From Multicores and GPU's to Petascale
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.

$35.00 / €27.50 / £22.00
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