Research of impulse noise removal algorithm

Abstract

Abstract: An impulse noise removal algorithm based on spatial local outlier measurement is proposed, which can realize the elimination of the impulse noise in image effectively. The algorithm identifies impulse-noise in a corrupted image based on SLOM, S-estimate firstly. Then it restores noise candidates by establishing and solving the regularization objective function afterward. Extensive experimental results show the algorithm’s effectiveness.

Key words: impulse noise, Spatial Local Outlier Measure（SLOM）, S-estimate, regularization

摘要： 噪声像素的检测精度是修复图像的重要因素。为提高噪声像素的检测精度，提出一种有效的两步脉冲噪声滤波算法，算法先以空间局部异常测度为基础，结合S-估计统计量对图像中的脉冲噪声进行检测，然后通过建立、解算正则化目标函数实现对噪声像素的赋值修复。实验验证了该算法的有效性。

关键词: 脉冲噪声, 空间局部异常测度, S-估计, 正则化

HU Jibao, ZHU Zhu. Research of impulse noise removal algorithm[J]. Computer Engineering and Applications, 2014, 50(11): 223-228.

胡积宝，朱柱. 一种有效的脉冲噪声去除算法[J]. 计算机工程与应用, 2014, 50(11): 223-228.

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Research of impulse noise removal algorithm

一种有效的脉冲噪声去除算法

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