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20 September 2020 Fast algorithms for model-based imaging through turbulence
Venkatesh Sridhar, Sherman J. Kisner, Samuel P. Midkiff, Charles A. Bouman
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Abstract
Digital holography (DH) systems have the potential to perform single-shot imaging through deep turbulence by incorporating emerging algorithms, such as model-based iterative reconstruction (MBIR), that jointly estimate both the phase-errors and speckle-free image. However, the high computational cost of MBIR poses a challenge for use in practical applications. In this paper, we propose a method that makes MBIR feasible for real-time DH systems. Our method uses surrogate optimization techniques to simplify and speed up the reflectance and phase-error updates in MBIR. Further, our method accelerates computation of the surrogate-updates by leveraging cache-prefetching and SIMD vector processing units on each CPU core. We analyze the convergence and real CPU time of our method using simulated data sets, and demonstrate its dramatic speedup over the original MBIR approach.
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© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Venkatesh Sridhar, Sherman J. Kisner, Samuel P. Midkiff, and Charles A. Bouman "Fast algorithms for model-based imaging through turbulence", Proc. SPIE 11543, Artificial Intelligence and Machine Learning in Defense Applications II, 1154304 (20 September 2020); https://doi.org/10.1117/12.2570789
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