The evaluation of the second-order pre-iteration Landweber algorithm based on the method of model-group

In order to solve the poor real-time property in Landweber algorithm, a pre-iteration algorithm had been proposed by the researchers. But it is still lack of the study on this modified algorithm, especially to its second-order iterative form. In this article, this pre-iteration Landweber algorithm in second-order iterative formula will be evaluated based on the method of model-group, some parameters will be designed to do the quantitative analysis. The results show the second-order pre-iteration Landweber algorithm has a better convergence rate than it in first-order form, it also has a good ability to follow the change of reference model after an optimal number of iteration is found, the quality of the reconstructed images are better and suitable for practical application.