The image reconstruction problem from projection data for some particular schemes of reconstruction is considered. There are used the Algebraic Reconstruction Technique (ART) and the chaotic algebraic iterative algorithm CHART to reconstruct high-construct objects from incomplete data. The influence of various parameters of these algorithms, such as the relaxation coefficient , the number of iterations, the number of projection data, and the noise in the projection data on reconstruction quality for different schemes of reconstruction is investigated. Numerical simulation results for a number of modeling high-contrast objects are presented and discussed.
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