一种基于偏导数的滤波算法

提出了一种新的图像噪声消除算法。该方法可以快速有效地去除图像中的脉冲噪声,并保留图像的细节。该算法主要利用像素点的偏导数信息把所有的像素点分为有效的信号点和噪声点,判定的标准为:任意像素点的值如果在其邻域为最大或最小值,则认为该点是噪声点,否则就是有效点。实验结果表明,本算法去除噪声与保留细节的效果好,且运算速度较快。

A New Filtering Algorithm Based on Partial Derivatives

Introduce a novel image denoising algorithm,the efficient signals are reserved when the noises are removed through the algorithm.The filters are based on local partial derivatives.First,all the pixels are separated into signal pixels and noise pixels according to the decision criterion given in the following;then,noise pixels are replaced with the related value of their neighborhood in the input image.The decision criterion : if a pixel value is the extremum(max or min) of its neighborhood,it is a noise pixel;else,it is a signal pixel.If a pixel value is higher or lower than the others'value of its neighborhood are,may consider that it had been contaminated with noise.Else,consider that it represents an effective signal.Experimental results show that the assumption fits the facts quit well.