A General-Thresholding Solution for lp (0<p<1) Regularized CT Reconstruction.
IEEE Transactions on Image Processing(2015)
摘要
It is well known that l1 minimization can be used to recover sufficiently sparse unknown signals in the compressive sensing field. The l p regularization method, a generalized version between the well-known l1 regularization and the l0 regularization, has been proposed for a sparser solution. In this paper, we derive several quasi-analytic thresholding representations for the lp(0 <; p <; 1) regul...
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关键词
Thresholding (Imaging),Iterative algorithms,Approximation algorithms,Computed tomography,Image reconstruction,Optimization,Convergence
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