一种改进的方向加权中值滤波算法
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摘要
为了去除图像中的随机值噪声,提出一种改进的中值滤波算法。基于图像每个像素的截断阈值,判别其是否为噪声像素,将判别结果用于修改方向加权中值滤波算法(DWM)的滤波器权重。仿真实验结果表明,对于去除图像中密度大于40%的随机值脉冲噪声,该算法比DWM算法具有更高的峰值信噪比,去噪效果较好。
In order to remove random noise from images, an improved median filtering algorithm is proposed. Based on the truncation threshold of each image pixel to determine whether it is a noisy pixel, and the result is used to modify the median filter weight of the DWM(directional weighted median) algorithm. The simulation results show that the proposed algorithm has a better denoising effect and a higher PSNR than DWM algorithm for removing random impulse noise with density greater than 40% in the image.
In order to remove random noise from images, an improved median filtering algorithm is proposed. Based on the truncation threshold of each image pixel to determine whether it is a noisy pixel, and the result is used to modify the median filter weight of the DWM(directional weighted median) algorithm. The simulation results show that the proposed algorithm has a better denoising effect and a higher PSNR than DWM algorithm for removing random impulse noise with density greater than 40% in the image.
引文
[1] GONZALEZ R C, WOODS R E.数字图像处理[M].阮秋琦,译.北京:电子工业出版社, 2003:175.
[2] NASIMUDEEN A, NAIR M S, TATAVARTI R. Directional switching median filter using boundary discriminative noise detection by elimination[J]. Signal, Image and Video Processing, 2012, 6(4):613-624.
[3] YU H C, ZHAO L, WANG H X. An efficient procedure for removing random-valued impulse noise in images[J]. IEEE Signal Processing Letters, 2008, 15(1):922-925.
[4] WU J, TANG C. A new filter for the removal of random-valued impulse noise from highly corrupted images[J]. AEU-International Journal of Electronics and Communications, 2012, 66(10):847-854
[5] ENG H L, MA K K. Noise adaptive soft-switching median filter[J]. IEEE Transactions on Image Processing, 2001, 10(2):242-251.
[6] CHAN R H, HO C W, NIKOLOVA M. Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization[J]. IEEE Transactions on Image Processing, 2005, 14(10):1479-1485.
[7] DONG Y Q, XU S F. A new directional weighted median filter for removal of random-valued impulse noise[J]. IEEE Signal Processing Letters, 2007, 14(3):193-196.
[2] NASIMUDEEN A, NAIR M S, TATAVARTI R. Directional switching median filter using boundary discriminative noise detection by elimination[J]. Signal, Image and Video Processing, 2012, 6(4):613-624.
[3] YU H C, ZHAO L, WANG H X. An efficient procedure for removing random-valued impulse noise in images[J]. IEEE Signal Processing Letters, 2008, 15(1):922-925.
[4] WU J, TANG C. A new filter for the removal of random-valued impulse noise from highly corrupted images[J]. AEU-International Journal of Electronics and Communications, 2012, 66(10):847-854
[5] ENG H L, MA K K. Noise adaptive soft-switching median filter[J]. IEEE Transactions on Image Processing, 2001, 10(2):242-251.
[6] CHAN R H, HO C W, NIKOLOVA M. Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization[J]. IEEE Transactions on Image Processing, 2005, 14(10):1479-1485.
[7] DONG Y Q, XU S F. A new directional weighted median filter for removal of random-valued impulse noise[J]. IEEE Signal Processing Letters, 2007, 14(3):193-196.