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.