Double deconvolution using a neural network
Chong Sze Tong · 2002
The restoration of a blurred digital image usually requires accurate knowledge of the blurring process which, however, may not always be available. This paper describes a double iterative scheme for the simultaneous identification of the blurring and its removal by making use of the neural network paradigm and assumption of physical constraints on the blurring process.>