An algorithm is proposed to solve the problem that the results of multi-scale Retinex with color restoration(MSRCR)are prone to have fuzzy detail and color distortion when it is used to separate lightness components. The proposed algorithm utilizes Retinex theory to divide the luminance into the components of lightness and reflectance. Then

the boundary of image is compensated by adding the detailed information that is extracted from lightness using bilateral filtering. The base-layer is extracted from the components of reflectance

and then is adaptively adjusted so as to compress the dynamic range of the high dynamic range image. Furthermore

the method can prevent color distortion and make the target images achieve better visual effect through color correction. Experimental results show that the proposed algorithm has better effect on dynamic range compression than both MSRCR and bilateral filtering methods have

and prevents halo artifacts

and that not only details but also color can be reproduced by the algorithm in visual point of view.