To solve the problems of sand-dust image such as fuzzy detail， low contrast and color cast， an enhancement algorithm based on multi-exposure image fusion is proposed. Firstly， the blue channel is compensated to make up for the blue light loss of sand-dust image. Secondly， the RGB three channels of the image are standardized to reduce the deviation between the channel histograms， so as to remove the color cast. In order to obtain the details of different regions in the image， the linear transformation method of parameter control is used to generate multi-exposure images. Weight maps are calculated using quality measures of contrast, saturation and well-exposedness to select the best pixels in the exposure images. Then the Gaussian pyramid of weight maps and the Laplacian pyramid of exposure images are constructed. Finally， the image pyramid is fused and the resulting image is reconstructed. Subjective and objective experiments show that， compared with other algorithms， the proposed algorithm can effectively remove color cast and improve the contrast and clarity of the image， and the result image visual effect is good.