Parallel hybrid bispectrum-multi-frame blind deconvolution image reconstruction technique

This paper presents B-MFBD, a parallel hybrid of bispectrum speckle imaging (SI) and multi-frame blind deconvolution (MFBD) image reconstruction techniques for anisoplanatic, long horizontal path imaging. Our aim is to recover an enhanced version of a turbulence-corrupted image by massive paralleliz...

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Vydané v:Journal of real-time image processing Ročník 16; číslo 4; s. 919 - 929
Hlavní autori: Hajmohammadi, Solmaz, Nooshabadi, Saeid, Archer, Glen E., Bos, J. P., Struther, Allan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2019
Springer Nature B.V
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ISSN:1861-8200, 1861-8219
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Shrnutí:This paper presents B-MFBD, a parallel hybrid of bispectrum speckle imaging (SI) and multi-frame blind deconvolution (MFBD) image reconstruction techniques for anisoplanatic, long horizontal path imaging. Our aim is to recover an enhanced version of a turbulence-corrupted image by massive parallelization of an SI and MFBD algorithms. The bispectrum SI technique is used in place of the multi-frame ensemble averaging to initialize the iterative parallel MFBD algorithm. B-MFBD technique, through massive parallelization, provides significantly large improvement in execution speed to both the bispectrum SI and MFBD parts of the hybrid algorithm. We report 85 % improvement in processing time with respect to the sequential implementation of the same algorithm for a 256 × 256 , gray-scale image, with comparable improvement in image quality.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:1861-8200
1861-8219
DOI:10.1007/s11554-016-0577-z