We discuss a generalization of the familiar iterative regular algorithm on the case of reconstructing an object function from the known modulus of the frequency-limited image with noise. The stabilizing constant is either fitted in an optimal way or decreased with the increasing number of iterations. Numerical examples are presented.
Regularized algorithm for reconstructing an object from a frequency-limited noised image
Optical Information Science and Technology (OIST97): Computer and Holographic Optics and Image Processing ; 1997 ; Moscow,Russia
Proc. SPIE ; 3348
1998-03-10
Conference paper
Electronic Resource
English
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