Estimation of the atmospheric blurring function using blind image quality metrics

Jeremy P. Bos; Michael C. Roggemann

doi:10.1117/12.930389

24 October 2012 Estimation of the atmospheric blurring function using blind image quality metrics

Jeremy P. Bos, Michael C. Roggemann

Proceedings Volume 8517, Laser Communication and Propagation through the Atmosphere and Oceans; 85170J (2012) https://doi.org/10.1117/12.930389
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

The application of speckle imaging techniques to the reconstruction of scenes degraded by atmospheric turbulence requires knowledge of the underlying atmospheric blurring function. This requirement is especially important in horizontal imaging of extended objects where the use of generalized inverse filters may result in reconstruction artifacts. In this work, a variety blind image quality metrics are evaluated to the task of optimizing the blurring function used for object amplitude recovery when is used C²_n as a free parameter. Effectiveness is evaluated by comparing the optimum images selected by each metric to the minimum mean squared error image. After establishing a baseline to the MSE using simulated imagery metrics are applied to field-acquired imagery and the results evaluated subjectively.

Citation Download Citation

Jeremy P. Bos and Michael C. Roggemann "Estimation of the atmospheric blurring function using blind image quality metrics", Proc. SPIE 8517, Laser Communication and Propagation through the Atmosphere and Oceans, 85170J (24 October 2012); https://doi.org/10.1117/12.930389

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