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基于同态滤波与自适应模糊多级中值滤波级联算法的散斑噪声污染图像恢复
Based on Combining Homomorphic and Adaptive Fuzzy Multilevel Median Filtering for Restoration of Images Degraded by Speckle Noise
【摘要】 提出了一种用于恢复散斑噪声污染图像的同态滤波与自适应模糊多级中值滤波级联算法 ,计算机仿真实验结果表明它既保持了图像的几何结构 ,又有效地抑制了散斑噪声 ,并且通过比较证明它优于同态滤波与多级中值滤波级联算法
【Abstract】 In this paper an algorithm of combining homomorphic and adaptive fuzzy multilevel median filter is proposed, which is applied to restoring images degraded by speckle noise. Simulation result shows the algorithm can not only preserve the geometrical features of images but also effectively suppress speckle noise in images. Through comparison, it is proved that the algorithm is superior to the algorithm of combining homomorphic and multilevel median filter.
【关键词】 同态滤波；
自适应模糊多级中值滤波；
散斑噪声；
图像恢复；
【Key words】 homomorphic filter； adaptive fuzzy multilevel median filter； speckle noise； image restoration；
【Key words】 homomorphic filter； adaptive fuzzy multilevel median filter； speckle noise； image restoration；
- 【文献出处】 中国激光 ,Chinese Journal of Lasers , 编辑部邮箱 ,2001年07期
- 【分类号】TN713;TN91173
- 【被引频次】40
- 【下载频次】360