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