This paper presents a method of single low dynamic range image exposure correction, which enhances details in over-/ under-exposed areas. Firstly, over-exposed areas and under-exposed areas are corrected respectively. In the under-exposed area, WLS filter is used to decompose the images into illumination map and reflection map, which enhances the brightness and contrast; In the over-exposed area, dark brightness is proposed to characterize the degree of over exposure and the Retinex model is extend to compress the brightness and to enhance details. After the corrected images are fused using the proposed fusion algorithm based on saliency, the multi-region enhancement image is obtained. The results of several methods are compared by using two common image quality evaluation indexes. Experiments show that the indexes of our results are superior to other results. In addition, in the comparison of visual effects, the proposed method can obtain the correction image with rich details and high color reproduction.