图像重建块迭代算法中松弛参数选取的研究
Studies of the Relaxation Parameter Selection of the Block-iterative Algorithm for Image Reconstruction
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摘要: 在图像重建中,Landweber迭代算法是图像重建算法中的重要方法。本文将针对Landweber分块迭代算法中松弛参数的选取进行研究。在重建过程中采取对投影矩阵按投影角度分块的方法,选取特定的松弛参数。通过数值实验得出结论:对于按角度分块的块迭代算法,松弛参数选取为λ乘以块矩阵与其共轭转置矩阵乘积的最大特征值分之一,当采集完全投影数据,且λ接近(1/6)~(1/7)时效果最好。另外,本文按角度分块的做法和松弛参数的选取方法对于有限角度图像重建问题也是可行的。Abstract: Landweber's iterative algorithm is an important method in the image reconstruction.In this article we study the relaxation parameter's selection in the Landweber's block-iterative algorithms.We select the special relaxation parameter and put the projection matrix into many blocks according to the projection angles in the reconstruction procedure.We select the product ofλand one ratio the maximal eigenvalues of the multiples of the block-matrixes (specified later) and their conjugate transpose matrixes as the special relaxation parameters.By performing numerical experiment,we conclude that ifλapproach to 1/6-1/7,we will get the best result when we can obtain the complete datum.;Otherwise,that we select the special relaxation parameter and put the projection matrix into many blocks according to the projection angles is available to the limited angle problem.