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Fast and optimal multiframe blind deconvolution algorithm for high-resolution ground-based imaging of space objects
- Source :
- Applied optics. 48(1)
- Publication Year :
- 2008
-
Abstract
- We report a multiframe blind deconvolution algorithm that we have developed for imaging through the atmosphere. The algorithm has been parallelized to a significant degree for execution on high-performance computers, with an emphasis on distributed-memory systems so that it can be hosted on commodity clusters. As a result, image restorations can be obtained in seconds to minutes. We have compared and quantified the quality of its image restorations relative to the associated Cramer-Rao lower bounds (when they can be calculated). We describe the algorithm and its parallelization in detail, demonstrate the scalability of its parallelization across distributed-memory computer nodes, discuss the results of comparing sample variances of its output to the associated Cramer-Rao lower bounds, and present image restorations obtained by using data collected with ground-based telescopes.
Details
- ISSN :
- 15394522
- Volume :
- 48
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Applied optics
- Accession number :
- edsair.doi.dedup.....52fb07c38072fb3269f4957402296604