Research on image dehazing algorithms based on physical model

Image dehazing is an important problem of common concern in image processing and computer vision areas. Recently, most researchers have adopted physical model based image dehazing to remove haze, in which dark channel prior law has achieved very good results in dealing with single images of outdoor scenes for image dehazing. Applying the theory of dark channel prior to estimate the atmosphere light A is a reliable method. Based on these, this paper studies five typical dehazing algorithms based on physical model and compares the advantages and disadvantages of these algorithms through a plenty of simulation experiments. It is some reference value to the researches in this filed with our studies.