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基于多级非线性加权平均中值滤波算法的散斑噪声抑制 被引量:8

Speckle Noise Suppressing Based on Multilevel Nonlinear Weighted Mean Median Filter
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摘要 文中根据斑点的统计性质对多级中值滤波器进行改进,提出了一种用于散斑噪声抑制的多级非线性加权平均中值滤波算法,实验结果证明了本文算法优于Lee滤波算法、F.safa算法和权重形态滤波器,它既保持了图像的几何特征,又有效地抑制了图像中的斑点噪声。 In the paper,multilevel median filter was improved according to statistic property of speckle,and a multilevel nonlinear weighted mean median filtering algorithm was presented. Experimental result proves that performance of the proposed scheme is superior to that of lee's filter,F.safa's algorithm,weighted morphological filter.The proposed algorithm can not only suppress speckle noise more effectively but also preserve the geometrical features of images.
出处 《激光与红外》 CAS CSCD 北大核心 2003年第5期380-382,共3页 Laser & Infrared
基金 国家自然科学基金资助项目(批准号:60172038) 全国优秀博士学位论文作者专项资金资助项目(200037) 教育部优秀青年教师资助计划项目(EYTP) 高等学校优秀青年教师教学科研奖励计划(TRAPOYT) 黑龙江省杰出青年基金(JC 02 07)资助。
关键词 斑点噪声抑制 多级中值滤波 非线性权重 激光雷达图像 图像质量 speckle noise suppression multilevel median filter nonlinear weight lidar Image
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