Insulator Image Denoising Based on Pixel Peer Groups and Neighbor Groups
基于像素同龄组和相邻组的绝缘子去噪方法

A new denoising method was proposed in the paper according to the characteristics of insulator infrared image with impulse noise and gaussian noise. First of all, according to the number of peer group of contains pixels, this paper determined impulse noise and signal areas,and then judged the target edge using neighbor groups. The denosing method uses the average of its peer group members instead of the pixel, and keeps the useful signal areas and edge areas at the same time. The experiment results show that the method in the signal-to-noise ratio(SNR) has better effect than other methods,and without blurring edges and details.