In order to remove noise from infrared images corrupted with additive,multiplicative,and mixed noise.An image patch from an ideal image is modeled as a linear combination of image patches from the noisy image.The total least square (TLS）algorithm was used to solve the coefficients,which takes into account the uncertainties in the measured data,and with them obtain the denoised image.The fuzzy kernel cluster algorithm was present to decide the region of weights roughly.If the pixels belonged to the same class,there was a strong relation of space between them.Otherwise,there was poor.The image quality of the output and the SNR demonstrated the effectiveness of the TLS algorithms to remove noise of infrared images.The end the histograms of clean image and the denoised images were compared to prove that the TLS denoise algorithm was effective in infrared images.