Method for filtering image contaminated with strong Gaussian noises
一种强高斯噪声的图像滤波方法

A new joint method for filtering image contaminated with strong Gaussian noises was presented.The pixels of an image were divided into two sets.Strong noisy pixels were located firstly through estimating changes of pixel intensity in a local region of a pixel and were removed using a modified adaptive mean filter.Weak noisy pixels were smoothed with a simplified pulse-coupled neural network(PCNN).Experimental results show that the proposed method works well with both preserving edge and smoothing range adaptively in an image,compared with some existing image filtering methods.