CAJ | 학술논문

在图像超分辨率正则化算法重建过程中，正则化参数的选取对于重建结果和收敛速度都有着重要的作用。本文简要介绍了现有的正则化参数选取方法，提出了一种正则化参数动态更新选取方法，该方法通过对重建过程中前后两次迭代更新的数据保真项和正则化项变化的比较，从而选取不同的函数对正则化参数进行更新，这样不仅保证了正则化参数选取的合理性，同时也加快了算法的收敛速度，最终能够获得较好的重建结果。实验证明了所提出算法的有效性。
재도상초분변솔정칙화산법중건과정중，정칙화삼수적선취대우중건결과화수렴속도도유착중요적작용。본문간요개소료현유적정칙화삼수선취방법，제출료일충정칙화삼수동태경신선취방법，해방법통과대중건과정중전후량차질대경신적수거보진항화정칙화항변화적비교，종이선취불동적함수대정칙화삼수진행경신，저양불부보증료정칙화삼수선취적합이성，동시야가쾌료산법적수렴속도，최종능구획득교호적중건결과。실험증명료소제출산법적유효성。
@@@@The choice of regularization parameter plays an important role in the effectiveness and speed of the convergence during the super-resolution reconstruction process. In this paper, detailed analysis and discussion of the selection of the regularization parameter has been given, which based on the existing methods, we proposed a dynamic update selection method of the regularization parameter. In this method, according to the changes of the fitting term and regularization term between two adjacent iterations, we choose the different function to calculate and update the parameter. In this way, it will not only guarantee the rational calculation of the parameter, but also can improve the speed of the convergence. Experimental results demonstrate the effectiveness of the proposed method.