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.
Gradient projection methods for image deblurring and denoising on graphics processors / Serafini, Thomas; Zanella, Riccardo; Zanni, Luca. - STAMPA. - 19:(2010), pp. 59-66. (Intervento presentato al convegno International Conference on Parallel Computing - ParCo2009 tenutosi a Lyon, France nel 1-4 September 2009) [10.3233/978-1-60750-530-3-59].
Gradient projection methods for image deblurring and denoising on graphics processors
SERAFINI, Thomas;ZANELLA, RICCARDO;ZANNI, Luca
2010
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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