Finally , an improved successive approximation process algorithm based on histogram constraint and tikhonov - miller regularization is proposed 最后,本文提出一种结合直方图约束和tikhonov - miller正则化的连续近似迭代算法。
To obtain a stable solution , in our method , successive approximation process is constrained by prior histogram and laplacian regularization 为了获得稳定而满意的解,我们采用直方图约束下的正则化方法对连续近似迭代进行约束。
Comparing with traditional successive approximation process algorithm , our method can improve quality of reconstruction result while speeding up convergence . further , proper threshold is adopted to enhance the robustness of the histogram constraint . , 和传统的连续近似迭代法相比,该方法在加快收敛速度同时能够有效地改善重建质量,同时我们采用阈值对先验直方图的影响进行动态地控制,有效地增强了直方图约束的抗干扰性。