Abstract: Image enhancement has developed for decades and remote sensing image enhancement is one important section of it. A novel remote sensing image enhancement method based on the Nonsubsampled Contourlet Transform (NSCT) is proposed in this study which can remove noise in image and enhance the contrast and details at the same time. For the classical Histogram Equalization (HE) can quickly and effectively improve the contrast of image globally. The HE is utilized to enhance the contrast of remote sensing image at first. Then the remote sensing image after HE is decomposed into the NSCT domain with a low-frequency sub-band and several high-frequency sub-bands. An adaptive threshold de-noising method is used to remove noise in the high-frequency and to further enhance the contrast of image locally, the fuzzy contrast enhancement are applied at the high-frequency sub-bands after de-noising. The low-frequency part stays without being processed to prevent over-enhanced. At last the remote sensing image is transformed into frequency domain and a Laplacian filter is utilized to enhance the edges. The experiment results have demonstrated that the proposed method has significant improvement in remote sensing image enhancement.