Deconvolution of images taken through atmospheric turbulence often requires regularization in order to prevent the restoration algorithm over-fitting the noisy observation. For this purpose many object priors have been proposed but their utility might be limited to one class of real objects. Optical effects of atmospheric turbulence are well understood and therefore priors on the point-spread function form a viable alternative. We show their usefulness.
© 2014 Optical Society of AmericaPDF Article
More Like This
Roberto Baena Gallé, Szymon Gladysz, Laurent Mugnier, Rao Gudimetla, Robert L. Johnson, and Lee Kann
JW2A.3 Adaptive Optics: Methods, Analysis and Applications (AOPT) 2013
Stuart M. Jefferies, Douglas A. Hope, Michael Hart, and James G. Nagy
CTh1B.1 Computational Optical Sensing and Imaging (COSI) 2013
DMC1 Digital Image Processing and Analysis (DIPA) 2010