Abstract
Sky/river alike areas are important parts of natural scenes. The haze of these areas will impact the vividness of natural scenes. More serious, once the haze occurs in navigation of flight and ship, it will threaten the safety. However, previous researches did not dehaze well for these areas. In this paper, a new haze removal approach is presented to improve the dehazing effect for the sky/river alike areas based on our new discovers. Inspired by the two discovers, we define two theoretical clues: the external boundary clue and the internal clue. And then a correction model is constructed to correct the dark channel values in the sky/river alike areas. Finally, an optimization solution is presented to solve this model. Both the visual experiment and the quantitative experiment show that proposed method outperforms the classical dark channel method and the deep learning method in sky/river alike areas.
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