A General-Thresholding Solution for lp (0<p<1) Regularized CT Reconstruction.

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...