An improved dehazing method based on the transmission compensation

This paper introduces a new method for the image dehazing via the transmission compensation based on the distribution of gray value in an image. By enhancing image contrast within a certain gray level range, it makes the compensation of transmission for the non-bright areas to be relatively small but large for bright areas. Also the compensation for the bright areas is adaptable and changes with the brightness of the image. Experiment results show that: 1) the method can effectively solve the problem of color distortion for bright area and weaken the dividing line caused by the segmentation between the bright area and the rest area; 2) the method can also reduce the time complexity of the algorithm and make the restored image smoother and more natural.

[1]  Chang-Su Kim,et al.  Optimized contrast enhancement for real-time image and video dehazing , 2013, J. Vis. Commun. Image Represent..

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

[3]  Tang Jin.  Review and prospect of image dehazing techniques , 2010 .

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

[5]  Junsheng Shi,et al.  Enhancement dark channel algorithm of color fog image based on the local segmentation , 2015, Photoelectronic Technology Committee Conferences.

[6]  Wu Hui-zhong.  Method of defogging image of outdoor scenes based on PDE , 2007 .

[7]  Chen Ya-ning.  An improved fog-degraded image clearness algorithm , 2007 .

[8]  Jean-Philippe Tarel,et al.  Fast visibility restoration from a single color or gray level image , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[9]  D. Wu,et al.  The Latest Research Progress of Image Dehazing , 2015 .

[10]  Qiu Shui-sheng,et al.  Projective synchronization control for simplified Lorenz chaotic systems , 2011 .

[11]  Gaofeng Meng,et al.  Efficient Image Dehazing with Boundary Constraint and Contextual Regularization , 2013, 2013 IEEE International Conference on Computer Vision.

[12]  Zhou He-qin.  A Novel Physics-based Method for Restoration of Foggy Day Images , 2008 .

[13]  Guanghui Ren,et al.  Single Image Dehazing Algorithm Based on Sky Region Segmentation , 2013 .

[14]  Jian Sun,et al.  Single image haze removal using dark channel prior , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.