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改进的固定点图像复原算法(英文)
引用本文:阎雪飞,许廷发,白廷柱.改进的固定点图像复原算法(英文)[J].中国光学,2013,6(3):318-324.
作者姓名:阎雪飞  许廷发  白廷柱
作者单位:北京理工大学光电学院光电成像技术与系统教育部重点实验室,北京,100081
基金项目:Major State Basic Research Development Program of China,The National Natural Science:Scientific Instrumentation Special Project,The National Natural Science Foundation of China
摘    要:研究了周期边界条件下,Tikhonov正则化的固定点算法,提出了变化正则化参数的方法。首先对正则化参数取较大值,抑制复原图像中的噪声,通过得出的收敛结果来修正初始梯度;然后对正则化参数取较小值,以增强复原图像中的细节。实验结果表明,与当前求解L1范数正则化函数和全变分正则化函数的流行算法比较,本文算法对于运动模糊与高斯模糊图像的复原效果更佳。

关 键 词:图像复原  周期边界条件  Tikhonov正则化  变正则化参数

Improved fixed point method for image restoration
YAN Xue-fei , XU Ting-fa , BAI Ting-zhu.Improved fixed point method for image restoration[J].Chinese Optics,2013,6(3):318-324.
Authors:YAN Xue-fei  XU Ting-fa  BAI Ting-zhu
Institution:(Key Laboratory of Photoelectric Imaging Technology and System of the Ministry of Education, College of Optical Engineering, Beijing Institute of Technology, Bering 100081, China)
Abstract:We analyze the fixed point method with Tikhonov regularization under the periodic boundary condi- tions, and propose a changable regularization parameter method. Firstly, we choose a bigger one to restrain the noise in the reconstructed image, and get a convergent result to modify the initial gradient. Secondly, we choose a smaller one to increase the details in the image. Experimental results show that compared with other popular algorithms which solve the L1 norm regularization function and Total Variation (TV) regularization function, the improved fixed point method performs favorably in solving the problem of the motion degradation and Gaussian degradation.
Keywords:image restoration  periodic boundary condition  Tikhonov regularization  change regularization parameter
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