In remote sensing images the frequency of thin cloud and mist is lower than that of sceneries.The frequency distribution characteristics of the remote sensing image influenced by the thin cloud and mist are analyzed based on the multi-resolution of the wavelet function.We conclude that the information of the sceneries are in the detail coefficients of lower levels

while the information of the cloud and mist are in those approximate and detail coefficients of higher ones.By increasing the detail coefficients of lower levels

and decreasing those of higher ones and approximate coefficients

the goal for removing the thin cloud and mist is achieved.The experimental results of the proposed algorithm

being evaluated and compared with the homomorphism filtering method

are proved to be satisfying.