To better the contrast of the images under the mine and suppress the influence of dust and noise, a mine image enhancement algorithm based on dual domain decomposition is proposed. Firstly, input images are decomposed into low frequency images and high frequency images respectively using bilateral filter. Secondly, haze removal and contrast enhancement of the low frequency images are realized by using the fast-dark channel prior dehazing algorithm and gamma transform. After that, non-subsampled Shearlet transform and second order differential operator are adopted to realize the high-frequency image denoising and enhancement. At last, the enhanced high-frequency and low-frequency images are composited into basic enhanced images followed by suppression of dust blur and over-exposure white artifact to obtain the desirable enhanced images. Result of the experiment shows that our algorithm is widely applicable for it not only can enhance the contrast of the images under the mine but also suppress the haze and noise effectively.