[1]MA Y D, LIN D M, ZHANG B D, et al. A novel algorithm of image Gaussian noise filtering based on PCNN time matrix [C]// Proceedings of 2007 IEEE International Conference on Signal Processing and Communication. Piscataway, NJ: IEEE Press, 2007:1499-1502.[2]何骥明,李强,明艳.改进型中值滤波器的实现和性能测试[J].计算机系统应用,2009,18(8):172-174.[3]ZHANG J Y, LU Z J, SHI L, et al. Filtering images contaminated with pep and salt type noise with pulse-coupled neural networks type noise with pulse-coupled neural networks[J]. Science in China Series F: Information Sciences,2005, 48(3):322-334.[4]DHIRAJ K, KUMAR E A, BARPANDA S S, et al. A novel hybrid approach for suppression of high density of impulsive noise [J]. International Journal of Recent Trends in Engineering,2009,1(3): 87-91.[5]刘远民,秦世引.一种新的基于PCNN的自适应强去噪方法[J].北京航空航天大学学报, 2009,35(1):108-112.[6]邹文洁.基于PCNN神经网络的图像去噪算法研究[J].计算机仿真,2008,25(8):234-237.[7]刘勍,马义德.一种基于PCNN 赋时矩阵的图像去噪新算法[J].电子与信息学报,2008,30(8):1869-1973.[8]李慧娜,平源.有效去除图像混合噪声的方法[J].计算机工程与设计,2008,29(13):3536-3541.[9]武英,吴海勇.一种自适应图像去噪混合滤波方法[J].计算机工程与应用,2010,46(7):168-170.[10]关新平,赵立兴,唐英干.图像去噪混合滤波方法[J].中国图象图形学报,2005,10(3):332-337. |