Noise reduction is an important research topic of the infrared image processing，but the commonly used noise reduction methods will cause the loss of the details.In order to effectively reduce the noise and protect the edge at the same time，a new anisotropic diffusion algorithm based on the information measure and the edge membership is introduced. The core content of this algorithm is to divide the image into two areas，the edge area and the non-edge area. While the conventional P-M diffusion equation is used into the non-edge area to filter the noise，and the nonlinear diffusion equation based on the information measure is used into the edge area to filter the noise and enhance the edge. The final results show that this algorithms PSNR，MAE and radiometric resolution are better than the traditional algorithms. So this algorithm has practicality and potential application value.