Effect of various model parameters on fog removal using dark channel prior
Neha Neha, Rajesh Kumar Aggarwal · 2017
Haze phenomenon degrades the visibility of a scene in the image. Dark Channel Prior is one of the technique used widely for removing haze. The methods deployed on this model evaluate the transmission map using constant transmission parameter. In this paper, we observe the output obtained on varying constant transmission parameter for different filters. We also studied the diverse results on changing the patch size of the image. Results show that the increase in constant transmission parameter leads to increase in the contrast of the scene. We also conclude that the image quality increases and noise decreases as the patch size increases in the Dark Channel Prior.