Finally , an improved successive approximation process algorithm based on histogram constraint and tikhonov - miller regularization is proposed 最后,本文提出一種結(jié)合直方圖約束和tikhonov - miller正則化的連續(xù)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 為了獲得穩(wěn)定而滿意的解,我們采用直方圖約束下的正則化方法對連續(xù)近似迭代進(jìn)行約束。
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 . , 和傳統(tǒng)的連續(xù)近似迭代法相比,該方法在加快收斂速度同時能夠有效地改善重建質(zhì)量,同時我們采用閾值對先驗直方圖的影響進(jìn)行動態(tài)地控制,有效地增強了直方圖約束的抗干擾性。