Estimation of the atmospheric blurring function using blind image quality metrics

Document Type

Conference Proceeding

Publication Date



Department of Electrical and Computer Engineering


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 C2n 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.

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© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only. Publisher’s version of record:

Publication Title

Proceedings Volume 8517, Laser Communication and Propagation through the Atmosphere and Oceans