Automatic image dehaze using polarization filtering
利用偏振滤波的自动图像去雾

To overcome the degraded images taken in hazy weather, an adaptive image restoration method was proposed. Firstly, by introducing dark channel for polarization images, sky regions are automatically segmented from the image, so the intensity and the degree of polarization of airlight can be acquired. Then, atmospheric light intensity information is extracted by polarization filtering, and used to optimize the degree of polarization of airlight by adopting the criteria of minimum normalized mutual information. After that, the distribution of atmospheric light intensity is repaired according to its change law. Finally, by removal of atmospheric light intensity, and compensation for attenuated effect of airlight, the scene radiation intensity information is recovered. Experimental results have shown that the proposed algorithm can alleviate the degradation of the image efficiently, and enhance the definition of the image.