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.


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    Title :

    Regularized algorithm for reconstructing an object from a frequency-limited noised image


    Contributors:

    Conference:

    Optical Information Science and Technology (OIST97): Computer and Holographic Optics and Image Processing ; 1997 ; Moscow,Russia


    Published in:

    Publication date :

    1998-03-10





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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