Improved algorithm on image haze removal using dark channel prior
Meibin Qi · Journal of Circuits and Systems · 2011
Images captured in fog suffer from poor contrast and visibility.It is important to remove weather effects from the degraded image in order to make vision systems more reliable and more robust.An improved method is proposed to overcome the weakness of original algorithm.By including tolerance mechanism and adaptive efforts to fog,the improved algorithm can effectively deal with the sky,white object,and so bright area that do not meet the assumptions of dark channel,to overcome color distortion which is arise by using the original algorithm dealing with these areas.Experimental results show that such changes is feasible,to eliminate color distortion of the image,visibility can be significantly enhanced.