A Local Smoothing Iterative Algorithm for Contrast Image Reconstruction
Y. E. Voskoboinikov, L. A. Litvinov
Keywords: image reconstruction, iterative algorithm, nonlinear filtering algorithms
Pages: 13-25
Abstract
A new contrast image reconstruction algorithm is proposed. The algorithm is a combination of an iterative quadratic functional minimization algorithm and a local smoothing algorithm. A point-spread function of the iterative algorithm is introduced and a method for its calculation is proposed. The stopping time of the iterative algorithm is found from the required iterative algorithm resolution that is found using the point-spread function. The local filter makes it possible to reduce substantially the random error of image reconstruction without increasing the systematic error.
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