Abstract
We introduce a synthetic-imaging technique that can be applied to correct anisoplanatic images degraded by atmospheric turbulence. This method is based on local image-quality analysis applied to a large set of short-exposure images and can be considered a generalization of the frame-selection technique. Experimental results obtained for atmospheric data demonstrate the efficiency of the synthetic-imaging technique in improving image quality.
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