To address the problems of low contrasts and fuzzy details in foggy images, an adaptive dynamic range contrast limited adaptive histogram equalization (CLAHE) algorithm for foggy image enhancement is proposed in this paper. Two adaptive parameters T₁ and T₂ are introduced to automatically adjust the range of image redistribution to improve the traditional CLAHE, and homomorphic filtering is further combined to improve the over-light and over-dark regions in the image. The original image is enhanced using a multi-scale detail enhancement algorithm. The processed detail image is combined with the result of homomorphic filtering to enhance the image contrast and details. The image results are compared and analyzed based on four objective evaluation indexes including information entropy, local contrast, average gradient, and running time. The subjective and objective test results reveal that the proposed algorithm can effectively enhance the image contrast and highlight the relevant details, which is convenient for image information extraction on foggy days.