A Hybrid Fourier-wavelet Denoising Method for Infrared Image of Porcelain Sleeve Cable Terminal Using GSM Model for Wavelet Coefficients
Wu Juzhuo, Jiajun Lin, Zijian Gao, Hui-Hong Lin, Qin-Qiang Li, Chenchen Zhang · 2018
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 denoising 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 first processed in the Fourier domain by using the Wiener filter. Then in wavelet domain, the wavelet coefficients are modeled by using the Gaussians Scale Mixtures model which considers the statistical properties of wavelet coefficients. Finally, the processed wavelet coefficients are used to reconstruct the signal and get the final denoising image. Simulation results indicate that the infrared image denoising effect can be effectively improved by using the denoising method in this paper.