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电子学报  2015 

基于高概率椒盐噪声的模糊滤波器在图像恢复中的算法设计

DOI: 10.3969/j.issn.0372-2112.2015.01.005, PP. 24-29

Keywords: 高概率椒盐噪声,模糊划分,恰当滤波窗口,模糊滤波器,图像恢复

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Abstract:

高概率椒盐噪声对数字图像的重度污染大量存在,如要消除信息少且噪点集中的噪声存在诸多困难;而低概率椒盐噪声对数字图像的轻度污染虽然可完全滤除,但在实际图像恢复中又缺少普遍意义.本文基于灰度值空间的模糊划分和描述灰度水平的模糊数,采用极值法对高概率噪声实施检测并建立恰当滤波窗口,应用广义重心去模糊化法和非噪声点对应的隶属函数设计一种新模糊滤波器.最后,通过仿真实例获得该滤波器可有效地过滤数字图像中高概率椒盐噪声,并说明它的去噪性能优于其他常见滤波器.

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