Image denoising: A nonlinear robust statistical approach

被引：65

作者：

Ben Hamza, A ^{[1
]}

Krim, H ^{[1
]}

机构：

[1] N Carolina State Univ, Dept Elect & Comp Engn, Raleigh, NC 27695 USA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2001年 / 49卷 / 12期

关键词：

alpha-stable noise; asymptotic analysis; nonlinear filtering; robust estimation;

D O I：

10.1109/78.969512

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：3045 / 3054

页数：10

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