Image reconstruction has often been transformed into solving nonlinear unconstrained extremum problem, through the norm minimization derived conjugate gradient method the general algorithm. Through the simulation data and actual data workpiece tomography image reconstruction, it is estimated that the effectiveness of the algorithm, the results showed that compared to steepest descent method, this algorithm is more applicable to incomplete projection data image reconstruction, in ensuring that the reconstructed image fit at the same time, greatly improving the speed of reconstruction.

conjugategrads.pdf

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