计算机工程与应用2012，Vol.48Issue(25)：198-202,5.DOI:10.3778/j.issn.1002-8331.2012.25.042
TLS估计的小波自适应零值绝缘子红外热像去噪
Wavelet adaptive denoising method for faulty insulators infrared thermal image based on Total Least Squares estimation
摘要
Abstract
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.关键词
总体最小二乘估计/零值绝缘子/红外图像去噪/小波变换Key words
Total Least Squares (TLS) estimation/ faulty insulator/ infrared image denoising/ wavelet transform分类
信息技术与安全科学引用本文复制引用
夏德分,罗滇生,陆佳政,蒋正龙,赵纯,关石磊,钱艳萍..TLS估计的小波自适应零值绝缘子红外热像去噪[J].计算机工程与应用,2012,48(25):198-202,5.基金项目
国家重点产业振兴和技术改造项目(发改投资[2010]2272号). （发改投资[2010]2272号）
