10 March 1998 Regularized algorithm for reconstructing an object from a frequency-limited noised image
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Abstract
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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O. V. Laptev, Victor V. Kotlyar, "Regularized algorithm for reconstructing an object from a frequency-limited noised image", Proc. SPIE 3348, Optical Information Science and Technology (OIST97): Computer and Holographic Optics and Image Processing, (10 March 1998); doi: 10.1117/12.302499; https://doi.org/10.1117/12.302499
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