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基于相关性的二级检测图像滤波算法
Secondary Signal Detection Filtering Algorithm Based on Correlation
【摘要】 为了准确检测图像中的椒盐噪声并滤除,提出了一种基于相关性的二级检测图像滤波算法。该算法根据椒盐噪声的特点,确定了准噪声点的范围;根据信号局部相关性,准确地分离出信号点和噪声点,对噪声点,取滤波窗口内的信号点的中值进行滤波。试验结果表明:该算法对椒盐噪声有很好的抑制作用。
【Abstract】 In order to accurately detect salt and pepper noise in an image and filter it out,a secondary noise detection filter algorithm based on extreme value is proposed.The algorithm sets the range of noise pixels based on the characteristics of salt and pepper noise.According to local correlation of signal,signal and noise are classified,and noise pixels are replaced with the median of the signal in a window.Experimental results show that the algorithm can effectively suppress salt and pepper noise.
【关键词】 图像滤波;
椒盐噪声;
极值滤波;
二级检测;
【Key words】 image filtering; salt and pepper noise; extreme filtering; secondary noise detection;
【Key words】 image filtering; salt and pepper noise; extreme filtering; secondary noise detection;
【基金】 国家自然科学基金项目(60704003)
- 【文献出处】 上海电机学院学报 ,Journal of Shanghai Dianji University , 编辑部邮箱 ,2010年05期
- 【分类号】TP301.6
- 【被引频次】1
- 【下载频次】38