Conjugate Gradient Applied to Image Reconstruction
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Abstract
Image reconstruction is often converted to the nonrestraint extremum of the nonlinear equations.We have deduced a conjugate gradient algorithm from the extremum of norm.The experimental results of reconstruction from simulated projections and real tomography projections have successfully shown that conjugate gradient guarantees the fitness to original image,speeds the iteration time,and can be specially used for reconstruction for incomplete projections.
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