一种应用小波系数GSM模型的混合傅里叶-小波电缆瓷套终端红外图像去噪方法

摘要

In order to remove the white noise of infrared image effectively and improve the accuracy of infrared diagnosis of electrical equipment,a hybrid Fourier-wavelet de-noising method is used to process the infrared image of porcelain bushing cable terminal in this paper.The main steps of the proposed method are as follows:the noisy image is firstly processed in the Fourier domain by using the Wiener filter,and then,the wavelet coefficients are de-noised in wavelet domain by using the Gaussians scale mixtures (GSM) model which considers the statistical properties of wavelet coefficients,finally,the processed wavelet coefficients are used to reconstruct the model and get the final de-noising image.Simulation results indicate that the infrared image de-noising effect can be effectively improved by using the proposed method in this paper.%为有效去除红外图像白噪声,提高电气设备红外诊断准确性,采用一种混合傅里叶-小波去噪方法对电缆瓷套终端红外图像进行处理.该方法先在傅里叶域中进行初步去噪处理,而后在小波域中去除剩余噪声.在小波域中去噪时,考虑到小波系数的统计特性,采用GSM模型对小波系数进行建模.对电缆瓷套终端红外图像去噪试验表明,运用文中方法能够有效提高红外图像的去噪效果.