基于中值滤波法及小波自适应扩散法的绝缘子红外热像去噪  

Insulator Infrared Image Denoising Based on Median Filtering and Wavelet Adaptive Diffusion

作　　者：李文杰[1] 姚建刚[1] 毛李帆 关石磊 

机构地区：[1]湖南大学电气与信息工程学院,湖南省长沙市410082 [2]华龙电气与信息技术有限公司,湖南省长沙市410012

出　　处：《电网技术》2010年第8期160-164,共5页Power System Technology

基　　金：湖南省科技计划项目(2006GK3043)

摘　　要：针对带有高斯噪声和脉冲噪声的绝缘子红外热像,提出利用中值滤波法和小波自适应扩散法进行去噪。首先对脉冲噪声点进行初步标识,得到图像的脉冲噪声拓扑矩阵,采用中值滤波法消除确认的脉冲噪声点;然后对图像进行小波变换,并采用带平衡控制项的自适应扩散法对小波分解后的高、低频子图进行自适应扩散,以抑制图像的高斯噪声。实验结果表明,该方法不仅能有效去除高斯噪声和脉冲噪声,而且能最大限度地保持图像细节,具有良好的去噪性能。In this paper, it is proposed to denoise the infrared insulator image containing impulse noise and Gaussian noise by median filtering and wavelet adaptive diffusion. Firstly, the impulse noise points are preliminarily identified to obtain impulse noise topological matrix of the image, and by use of median filtering the confirmed impulse noise points are eliminated; then execute wavelet transform to the image and applying the adaptive diffusion with balance control term to post-wavelet transform high- and tow-frequency sub-images to reduce Gaussian noise of the image. Experimental results show that the proposed method can effectively remove Gaussian noise and impulse noise, and can keep the image detail to the hilt, so it possesses good denoising performance.

关 键 词：脉冲噪声 高斯噪声 拓扑矩阵 中值滤波 自适应扩散 抑制噪声 

分 类 号：TM855[电气工程—高电压与绝缘技术]