Abstract

We consider the statistical estimation of the covariance matrices required in the prediction of restoration shiftmaps using Kalman filter. Anisoplanatic warp of imagery through atmospheric turbulence is modelled at pixel level as a simple oscillator.

© 2009 Optical Society of America

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