ANALYSIS AND SYNTHESIS OF SIGNALS AND IMAGES A STABLE IMAGE RECONSTRUCTION ALGORITHM FOR INEXACT POINT-SPREAD FUNCTION

摘要

The problem of image reconstruction is considered for the case when the recording system point-spread function and the recorded image are known with random errors. An efficient computational image reconstruction algorithm that uses a 2D Discrete Fourier Transform and a Fast Fourier Transform algorithm is designed. An algorithm for reliable estimation of the optimal regularization parameter is proposed to choose the regularization parameter determining the reconstruction problem solution accuracy. The reconstruction algorithm can be adapted to identify a point-spread function of dynamic image recording systems.