基于TLS的正交小波变换红外图像去噪

提出了一种基于总体最小二乘的正交小波变换红外图像去噪算法。对红外图像进行离散正交小波变换,分别对各个分解层的高频子带，通过总体最小二乘算法估计小波系数，获得各个高频子带信号的估计系数，然后通过正交小波反变换得到去噪图像。仿真结果表明，该红外图像去噪算法能有效去除加性红外图像噪声，在信噪比、直方图匹配等方面都有较大改善，并获得了良好的主观视觉效果。

Infrared Image Denoising Through Orthogonal Wavelet Transform Based on TLS

A methods using orthogonal wavelet transform based on total least squares for infrared image denoising is proposed. The infrared image is decomposited using orthogonal wavelet transform. For the high frequency components of image decomposition, the wavelet coefficients are estimated using total least squares.Then the high frequency coefficients of signal was obtained. The denoised image is obtained through inverse wavelet transform. The experimental results show that the infrared image can be denoised effectively in this means. The SNRs and histograms matching are improved substantially, and the visual quality is achieved well.