| 一种改进的严重脉冲噪声滤除算法 |
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| 引用本文： | 毕萍. 一种改进的严重脉冲噪声滤除算法[J]. 西安邮电学院学报, 2011, 16(2): 9-12 |
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| 作者姓名： | 毕萍 |
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| 作者单位： | 西安邮电学院通信与信息工程学院,陕西,西安,710121 |
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| 基金项目： | 西安邮电学院中青年教师科研基金资助项目 |
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| 摘 要： | 为了有效改善受严重噪声污染图像的恢复效果,准确定位噪声点和改善所恢复图像的峰值信噪比,提出一种改进的非线性自适应滤波算法.该方法利用初始标记窗口的局部统计信息,首先将图像像素点粗分为信号点、可能的正噪声点和可能的负噪声点三类,建立噪声标记矩阵;根据噪声标记矩阵的局部统计信息,将可能的噪声点细分为信号点、噪声点和不确定点,并分别采用不同的方法进行滤波;对于不确定点进行2次判断,对于噪声点用其4邻域均值来代替。本算法的优点是计算速度快,噪声点定位准确,可以保留更多的图像细节。实验证明,该算法可有效恢复受严重脉冲噪声污染的图像。
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| 关 键 词： | 自适应滤波器 脉冲噪声 非线性 图像恢复 |
An improved algorithm for removing impulse noise from highly corrupted images |
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| BI Ping. An improved algorithm for removing impulse noise from highly corrupted images[J]. Journal of Xi'an Institute of Posts and Telecommunications, 2011, 16(2): 9-12 |
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| Authors: | BI Ping |
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| Affiliation: | BI Ping(School of Communication and Information Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710121,China) |
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| Abstract: | To restore the impulse noise polluted image,accurately locate the noise and improve the PSNR of the reconstructed images,an improved nonlinear adaptive filtering algorithm is presented here.By dint of the statistical information in a local marked window of the image,the pixels are classified roughly to be signal pixels,possible noise pixels or possible negative noise pixels,and the noise labeling matrix is built.Then the possible noise pixels are subdivided into signal pixels,noise pixels and uncertain pixe... |
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| Keywords: | adaptive filter impulse noise nonlinear image restoration |
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