At present, the image dehazing method based on dark channel mostly has the problems of image color distortion and blurred contour of the sky boundary region after restoration. In order to solve these problems, a dark channel dehazing method fused with color enhancement information is proposed. Based on the dark channel prior algorithm, the interval estimation of atmospheric light value is carried out by gray-scale open operation to obtain accurate atmospheric light value and initial transmittance. The grayscale image corresponding to the spatially restored image of YCbCr is used as the guide image, and the coarse transmittance image is refined by gradient domain guided filtering, and then the adaptive tolerance mechanism is used to adaptively correct the transmittance of the sky region and the bright region. Finally, the brightness compensation model is used to correct the image to improve the brightness and color saturation of the restored image. Experimental results on synthetic foggy images and real foggy images show that, compared with the existing single-image dehazing algorithms, the proposed method improves both the peak signal-to-noise ratio and structural similarity, and effectively solves the problems of image color distortion and detail loss after dehazing.