Wavelet adaptive denoising method for faulty insulators infrared thermal image based on Total Least Squares estimation
Xia Defen, Diansheng Luo, Lu Jiazheng, Jiang Zhenglong, Chun Hua Zhao, Shilei Guan, Yanping Qian · Computer Engineering and Applications Journal · 2012
In order to make up for traditional wavelet denoising based on Bayes estimation depends on prior distribution of wavelet coefficients,and on account of faulty insulators infrared image with characteristics of low SNR(Signal to Noise Ratio),a wavelet adaptive denoising method for faulty insulators infrared image based on Total Least Squares(TLS)estimation is presented.Wavelet transform is applied to the image and keeps the low frequency wavelet coefficients unchanged.The high frequency wavelet coefficients on various scales go through TLS estimation before they together with the original low frequency wavelet coefficients,are used to reconstruct images.Experimental results show that the method effectively removes the noise,keeps the image details,and has a better denoising effect,compared to soft threshold and Bayes estimation.