Aiming at the problems of incomplete dehazing, color cast effect in large sky regions and low efficiency of the single image dehazing algorithm using the dark channel prior, we propose a new optical compensation based quick dehazing algorithm using dark channel prior. Firstly, we introduce the twoorder Butterworth high pass filter into the homomorphic filtering function, and enhance the minimum color components in the frequency domain. Meanwhile, smoothing the illumination in the minimum color component compensates for the degradation of image quality caused by insufficient illumination in the local area. Secondly, we smooth the above image by bilateral filtering, which can make illumination in minimum color components more natural. Finally, the processed minimum color components are regarded as the guide image to refine the initial transmittance. Experimental results show that compared with the Tarel algorithm and median filter algorithm, the restored images processed by the proposed algorithm have better visual effect. Compared with the guided filter algorithm, the recovered hazefree images processed by the proposed algorithm has  better dehazing effect and more accurate color restoration in the sky region, and faster computational speed as well.