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.File in questo prodotto:
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