For infrared image with low contrast and low signal-to-noise ratio,a infrared image enhancement method based on Wavelet Transform and Grayscale Morphology is presented.The wavelet transform is adopted to decompose the input infrared image,then low frequency coefficients are enhanced by the Grayscale Morphology.At the same time the calculated part threshold value is used for image de-noising.Finally,the inverse wavelet transform is applied to synthesis image which can obtain the enhanced image.A group of experimental results demonstrate that the presented algorithm not only solves the problem of the low contrast in infrared image,but also reduces the noise and highlight the image detail.The proposed algorithm outperforms the traditional image enhancement methods of Median Filtering method with histogram equalization enhancement and wiener Filtering method with gray value transform.