An iterative mixed norm image restoration algorithm

Min-Cheol Hong, T. Stathaki, A. Katsaggelos
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引用次数: 2

Abstract

In this paper, we propose an iterative mixed norm image restoration algorithm. A functional which combines the least mean squares (LMS) and the least mean fourth (LMF) functionals is proposed. A function of the kurtosis is used to determine the relative importance between the LMS and the LMF functionals. An iterative algorithm is utilized for obtaining a solution and its convergence is analyzed. Experimental results demonstrate the capability of the proposed approach.
一种迭代混合范数图像恢复算法
本文提出了一种迭代混合范数图像恢复算法。提出了一种结合最小均二乘(LMS)和最小均四次方(LMF)的泛函。峰度函数用于确定LMS和LMF泛函之间的相对重要性。采用迭代算法求解,并对其收敛性进行了分析。实验结果证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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