基于非线性累积量的自适应滤波同时去除图像中的高斯噪声和脉冲噪声

Proceedings of the Eighteenth National Radio Science Conference. NRSC'2001 (IEEE Cat. No.01EX462) Pub Date : 2001-03-27 DOI:10.1109/NRSC.2001.929235

H. M. Ibrahim, R. Gharieb, A. H. Ibrahim

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引用次数: 1

摘要

本文提出了一种基于高阶统计量(HOS)的边缘保持滤波器，即基于非线性累积量的自适应滤波器(NCBAF)。NCBAF算法结合了基于二维累积量的自适应增强器(2DCBAE)的线性(平均)特性和中值滤波器的非线性特性。提出的算法允许同时去除脉冲和高斯噪声类型的图像，在一个单一的滤波通过处理。将该方法的性能与常用的中值滤波器和2DCBAE进行了比较。

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Nonlinear cumulant based adaptive filter for simultaneous removal of Gaussian and impulsive noises in images

This paper presents an edge-preserving higher order statistics (HOS) based filter called nonlinear cumulant based adaptive filter (NCBAF) for noise suppression in images. The NCBAF algorithm combines the linear (averaging) characteristics of the two-dimensional cumulant based adaptive enhancer (2DCBAE) and the nonlinear characteristics of the median filter. The proposed algorithm allows the simultaneous removal of impulsive and Gaussian noise types in images, processed in a single filtering pass. The performance of the proposed method is compared to the commonly used median filter and the 2DCBAE.

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Proceedings of the Eighteenth National Radio Science Conference. NRSC'2001 (IEEE Cat. No.01EX462)

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