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Image reconstruction from few views by L0-norm optimization
As the L1-norm TV regularization is tending to uniformly penalize the image gradient and the low-contrast structures are sometimes over smoothed, we proposed a new algorithm based on the L0-norm of the GMI to deal with the few views problem.
An iterative algorithm for computed tomography image reconstruction from limited-angle projections
And the algorithm introduces scaling factors to control the two processes, respectively.
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