Image denoising: A nonlinear robust statistical approach
Image denoising: A nonlinear robust statistical approach
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DOI：
10.1109/78.969512
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发表时间：
2001-12-01
影响因子：
5.4
通讯作者：
Krim, H
中科院分区：
文献类型：
--
作者：
Ben Hamza, A;Krim, H
介绍了基于稳健估计理论的非线性滤波技术。给出了一些确定性和渐近性质。所提出的去噪方法在Huber epsilon污染的正常邻域上是最优的，并且对孤立点具有很高的抵抗能力。实验结果表明，在高斯噪声和重尾噪声存在的情况下，所提出的滤波器的性能有了很大的改善。
Nonlinear filtering techniques based on the theory of robust estimation are introduced. Some deterministic and asymptotic properties are derived. The proposed denoising methods are optimal over the Huber epsilon -contaminated normal neighborhood and are highly resistant to outliers. Experimental results showing a much improved performance of the proposed filters in the presence of Gaussian and heavy-tailed noise are analyzed and illustrated.