Single image haze removal on complex imaging background

A haze removal method for single image on complex imaging background is proposed. The basic assumption of dark channel prior and the selecting principle of atmospheric light value are studied theoretically, and it is found that the template scale plays a key role in the determination of atmospheric light value and the quality of transmission image, which are two crucial parameters for getting high-precision images. Based on this, a multi-scale model is ingeniously proposed in order to obtain the most desirable two crucial parameters simultaneously. The advantages of the multi-scale model for single image haze removal on complex imaging background are also experimentally demonstrated.

[1]  Shree K. Nayar,et al.  Chromatic framework for vision in bad weather , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[2]  Shree K. Nayar,et al.  Vision and the Atmosphere , 2002, International Journal of Computer Vision.

[3]  Robby T. Tan,et al.  Visibility in bad weather from a single image , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Raanan Fattal,et al.  Single image dehazing , 2008, ACM Trans. Graph..

[5]  F. Cheng,et al.  Constant time O(1) image fog removal using lowest level channel , 2012 .

[6]  Truong Q. Nguyen,et al.  An Investigation of Dehazing Effects on Image and Video Coding , 2012, IEEE Transactions on Image Processing.

[7]  Jian Sun,et al.  Guided Image Filtering , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Wonha Kim,et al.  Segmenting dark channel prior in single image dehazing , 2014 .

[9]  Mohinder Malhotra.  Single Image Haze Removal Using Dark Channel Prior , 2016 .