Nonlinear image filtering in a mixture of Gaussian and heavy-tailed noise

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955229

A. Ben Hamza, H. Krim

引用次数: 2

Abstract

Inspired by robust estimation, nonlinear denoising methods combining the mean, the median, and the LogCauchy filters are proposed. Some statistical and asymptotic properties are studied, and comparisons with other nonlinear filtering schemes are performed. Experimental results showing a much improved performance of the proposed filters in the presence of Gaussian and heavy-tailed noise are analyzed and illustrated.

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混合高斯和重尾噪声的非线性图像滤波

受鲁棒估计的启发，提出了均值、中值和LogCauchy滤波器相结合的非线性去噪方法。研究了该方法的一些统计性质和渐近性质，并与其它非线性滤波方法进行了比较。实验结果表明，在存在高斯噪声和重尾噪声的情况下，所提出的滤波器的性能得到了很大的提高。

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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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.