Abstract Fog is an atmospheric phenomenon that significantly degrades the visibility of outdoor scenes. It is difficult to lock in and track off criminals clarity in the high-definition surveillance hazy image and driverless. In our research, we develop dark channel model, re-refined transmission map by transferring coefficient. Compared with other defogging methods based on single color image prior, our method is a effectiveness of the proposed defogging algorithm, enhanced the saturation of defogging image and a higher quality depth map can be obtained of fog removal. In this way, a clear hazy image is obtained while maintaining the fog removing quality. Moreover, a good quality defogging image can be validated of fog removal by PSNR and MSE.
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