Parallel hybrid bispectrum-multi-frame blind deconvolution image reconstruction technique
Department of Electrical and Computer Engineering, Department of Mathematical Sciences
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.
Journal of Real-Time Image Processing
Archer, G. E.,
Bos, J. P.,
Parallel hybrid bispectrum-multi-frame blind deconvolution image reconstruction technique.
Journal of Real-Time Image Processing,
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