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Atmospheric optical turbulence can be a significant source of imagedegradation, particularly in long range imaging applications. Many turbulencemitigation algorithms rely on an optical transfer function (OTF) model thatincludes the Fried parameter. We present anisoplanatic tilt statistics forspherical wave propagation. We transform these into 2D autocorrelationfunctions that can inform turbulence modeling and mitigation algorithms. Usingthese, we construct an OTF model that accounts for image registration. We alsopropose a spectral-ratio Fried parameter estimation algorithm that is robust tocamera motion and requires no specialized scene content or sources. We employthe Fried parameter estimation and OTF model for turbulence mitigation. Anumerical wave-propagation turbulence simulator is used to generate data toquantitatively validate the proposed methods. Results with real camera data arealso presented.

Application of Tilt Correlation Statistics to Anisoplanatic Optical Turbulence Modeling and Mitigation