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.