【摘要】 指出了美国冈萨雷斯教授(Rafael C.Gonzalez)提出的一个基于自适应局部噪声消除滤波器算法存在的不足,并提出了一种改进的自适应局部噪声消除滤波新算法.通过比较可以发现改进的算法要比原算法的均方误差emse降低了一个数量级,而且各种信噪比SNR、SNRm、PSNR都将比原算法提高了1/4.计算机仿真实验证明了改进的自适应局部噪声消除滤波算法是有效的.更多还原

【Abstract】 American Professor Rafael C.Gonzalez once mentioned an adaptive filtering algorithm based on local noise removal in his article《Digital Image Processing》.This paper is to point out the defect of this algorithm and put forward a new improved adaptive filtering algorithm.By comparing this two algorithms,you will find the covariance e_mse in the new algorithm has been reduced to a lower rank than in the original one,and various signal-to-noise ratios SNR、SNR_m、 PSNR have been raise by one-fourth.This new algorithm has been improved effective by computer simulating experiment and is of certain applicability.更多还原