The Latest Research Progress of Image Dehazing
Di Wu · Acta Automatica Sinica · 2015
With the development of computer vision system and the increasing demand in military, transportation and surveillance applications, image dehazing has been an important researching direction in computer vision. Images acquired in bad weather, such as haze and fog, are seriously degraded by the scatting of the atmosphere, which makes the image color gray, reduces the contrast and makes the object features difficult to identify. The bad weather not only leads to the variation of the visual effect of the image, but also cause the disadvantage of the post processing to the image, as well as inconvenience of all kinds of instruments which rely on optical imaging, such as satellite remote sensing system,aerial photo system, outdoor monitoring system and object identification system. That is the reason why the image need enhancement and restoration for the improvement of the visual effects and convenience of post processing. This paper sums up two kinds of image dehazing methods, which are the methods based on image enhancement and based on the physics model. After that, some algorithms and research results are presented, followed by quantitative and qualitative evaluations of these techniques. Finally, the research progress is summarized and future research directions are suggested.