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相似邻居数目图像脉冲噪声滤波算法

DOI: 10.11834/jig.20111203

Keywords: 图像去噪,随机值脉冲噪声,噪声率,噪声检测

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Abstract:

为了去除图像随机脉冲噪声的同时保留边缘,提出一种新方法。该方法首先利用图像局部灰度相似性来构造相似邻居数目图,一个像素的相似邻居数目在窗口内最大或数值较大,才可能认为是没有受到噪声干扰的像素。根据噪声密度不同采用不同方法检测。实验结果表明,阈值能适应性不同图像类型,滤波结果优于大部分已有算法,且算法复杂度低于大部分改进的中值滤波算法。

References

[1]  Wang Z,Zhang D.Progressive switching median filter for the removal of impulse noise from highly corrupted images[J].IEEE Transactions on Circuits and Systems II,1999,46(1):78-80.
[2]  Chen T,Ma K K,Chen L H.Tri-state median filter for image denoising[J].IEEE Transactions on Image Processing,1999,8(12):1834-1838.
[3]  Crnojevic V,Senk V,Trpovski Z.Advanced impulse detection based on pixel-wise MAD[J].IEEE Signal Processing Letters,2004,11(7):589-592.
[4]  Garnett R,Huegerich T,Chui C,et al.A universal noise removal algorithm with an impulse detector[J].IEEE Transactions on Image Processing,2005,14(11):1747-1754.
[5]  Smolka B,Chydzinski A,Fast detection and impulsive noise removal in color images[J].Real-Time Imaging,2005,11(5/6):389-402.
[6]  Zhang S,Karim M A.A new impulse detector for switching median filters[J].IEEE Signal Process.Lett,2002,9(11):360-363.
[7]  Chen T,Wu H R.Space variant median filters for the restoration of impulse noise corrupted images[J].IEEE Transactions on Circuits and Systems II,2001,48(8):784-789.
[8]  Luo W,Dang D.An efficient method for the removal of impulse noise//IEEE International Conference on Image Processing.Washongton,DC,USA:IEEE, 2006,2601-2604.
[9]  Shang Zeli,Shui Penglang,Wang Xiaolong,Removal of random valued impulse images using detection geometric structure[J].Journal of Image and Graphics of China,2008,13(7):1292-1297.
[10]  Ali Said Awad,Hong Man.Similar neighbor criterion for impulse noise removal in images[J].Int.J.Electron.Commun.(AEU),2010,64(5):904-915.

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