A comparison of the mean square error performance of speckle and MFBD image reconstruction techniques under anisoplanatic long-horizontal-path imaging

Glen E. Archer; Jeremy P. Bos; Michael C. Roggemann

doi:10.1117/12.2016124

31 May 2013 A comparison of the mean square error performance of speckle and MFBD image reconstruction techniques under anisoplanatic long-horizontal-path imaging

Glen E. Archer, Jeremy P. Bos, Michael C. Roggemann

Author Affiliations +

Proceedings Volume 8713, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X; 87130M (2013) https://doi.org/10.1117/12.2016124
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

The potential benefits of real-time, or near-real-time, turbulent image processing hardware for long-range surveillance and weapons targeting are sufficient to motivate significant commitment of both time and money to their development. Thoughtful comparisons between potential candidates are necessary to confidently decide on a preferred processing algorithm. In this paper, we compare the mean-square-error (MSE) performance of speckle imaging methods and a maximum-likelihood, multi-frame blind deconvolution (MFBD) method applied to longpath horizontal imaging scenarios. Both methods are used to reconstruct a scene from simulated imagery featuring anisoplanatic turbulence induced aberrations. This comparison is performed over three sets of 1000 simulated images each for low, moderate and severe turbulence-induced image degradation. The comparison shows that speckle-imaging techniques reduce the MSE 46 percent, 42 percent and 47 percent on average for low, moderate, and severe cases, respectively using 15 input frames under daytime conditions and moderate frame rates. Similarly, the MFBD method provides, 40 percent, 29 percent, and 36 percent improvements in MSE on average under the same conditions. The comparison is repeated under low light conditions (less than 100 photons per pixel) where improvements of 39 percent, 29 percent and 27 percent are available using speckle imaging methods and 25 input frames and 38 percent, 34 percent and 33 percent respectively for the MFBD method and 150 input frames.

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Glen E. Archer, Jeremy P. Bos, and Michael C. Roggemann "A comparison of the mean square error performance of speckle and MFBD image reconstruction techniques under anisoplanatic long-horizontal-path imaging", Proc. SPIE 8713, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X, 87130M (31 May 2013); https://doi.org/10.1117/12.2016124

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KEYWORDS

Image processing

Turbulence

Photons

Error analysis

Speckle imaging

Image restoration

Imaging systems

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