Title

Massive parallel processing of image reconstruction from bispectrum through turbulence.

Document Type

Article

Publication Date

10-7-2015

Department

Department of Electrical and Computer Engineering, Center for Scalable Architectures and Systems

Abstract

This paper presents a massively parallel method for the phase reconstruction of an object from its bispectrum phase. Our aim is to recover an enhanced version of a turbulence-corrupted image by developing an efficient and fast parallel image-restoration algorithm. The proposed massively parallel bispectrum algorithm relies on multiple block parallelization. Further, in each block, we employ wavefront processing through strength reduction to parallelize an iterative algorithm. Results are presented and compared with the existing iterative bispectrum method. We report a speed-up factor of 85.94 with respect to sequential implementation of the same algorithm for an image size of 1024×1024.

Publication Title

Applied Optics

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