Abstract
A new model describing the temporal transitions of atmospheric tilt is described and utilized in a Bayesian tilt-estimation algorithm. Using this model, images are synthesized from short-exposure data demonstrating the tilt-estimation improvements.
© 2001 Optical Society of America
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