The convergence of the block cyclic projection with an overrelaxation parameter for compressed sensing based tomography

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摘要

The convergence of the block cyclic projection for compressed sensing based tomography (BCPCS) algorithm had been proven recently in the case of underrelaxation parameter λ∈(0,1]. In this paper, we prove its convergence with overrelaxation parameter λ∈(1,2). As a result, the convergence of the other two algorithms (BCAVCS and BDROPCS) with overrelaxation parameter λ∈(1,2) in a special case is derived. Experiments are given to demonstrate the convergence behavior of the BCPCS algorithm with different values of λ.

论文关键词:Compressed sensing,Image reconstruction,Total variation minimization,Amalgamated projection method,Block iterative algorithm

论文评审过程:Received 3 May 2014, Available online 29 November 2014.

论文官网地址:https://doi.org/10.1016/j.cam.2014.11.036