IMPAIR: massively parallel deconvolution on the GPU

Michael Sherry; Andy Shearer

doi:10.1117/12.2008603

19 February 2013 IMPAIR: massively parallel deconvolution on the GPU

Michael Sherry, Andy Shearer

Proceedings Volume 8655, Image Processing: Algorithms and Systems XI; 86550Q (2013) https://doi.org/10.1117/12.2008603
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

The IMPAIR software is a high throughput image deconvolution tool for processing large out-of-core datasets of images, varying from large images with spatially varying PSFs to large numbers of images with spatially invariant PSFs. IMPAIR implements a parallel version of the tried and tested Richardson-Lucy deconvolution algorithm regularised via a custom wavelet thresholding library. It exploits the inherently parallel nature of the convolution operation to achieve quality results on consumer grade hardware: through the NVIDIA Tesla GPU implementation, the multi-core OpenMP implementation, and the cluster computing MPI implementation of the software. IMPAIR aims to address the problem of parallel processing in both top-down and bottom-up approaches: by managing the input data at the image level, and by managing the execution at the instruction level. These combined techniques will lead to a scalable solution with minimal resource consumption and maximal load balancing. IMPAIR is being developed as both a stand-alone tool for image processing, and as a library which can be embedded into non-parallel code to transparently provide parallel high throughput deconvolution.

Citation Download Citation

Michael Sherry and Andy Shearer "IMPAIR: massively parallel deconvolution on the GPU", Proc. SPIE 8655, Image Processing: Algorithms and Systems XI, 86550Q (19 February 2013); https://doi.org/10.1117/12.2008603

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