Paper
21 July 2010 GPU-accelerated image reconstruction for optical and infrared interferometry
Fabien Baron, Brian Kloppenborg
Author Affiliations +
Abstract
The advent of GPU hardware and associated software libraries for scientific computing renders possible acceleration of parallelisable problems by a typical factor of 10-100. We present the first GPU-accelerated and open source image reconstruction software for optical/infrared interferometry, making use of the OpenCL library. Finally we evaluate how this improvement in speed may translate in terms of improvement in image reconstruction quality for currently computationnally intensive algorithms.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fabien Baron and Brian Kloppenborg "GPU-accelerated image reconstruction for optical and infrared interferometry", Proc. SPIE 7734, Optical and Infrared Interferometry II, 77344D (21 July 2010); https://doi.org/10.1117/12.856713
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Cited by 4 scholarly publications.
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KEYWORDS
Image restoration

Interferometry

Visibility

Reconstruction algorithms

Infrared imaging

Infrared radiation

Algorithm development

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