Fast image dehazing algorithm based on multiple filters
Xiaoyan Qian, Lei Han · 2014
This paper proposes a new fast dehazing method based on multiple filtering methods. We firstly estimate an initial airlight map through its characteristics, then refine it by bilateral filter and guided filter to generate a new one which removes the abundant texture information and recovers the depth edge information. And, the correct atmosphere light is generated by a hierarchical searching method based on the quad-tree subdivision. Finally, the scene radiance is produced by the atmosphere attenuation model. Comparing experiments show that the proposed algorithm can get a good dehazing effect and is sufficiently fast for realtime applications.