Abstract The image dehazing is researched based on mixed dark channel prior. Firstly, threshold was divided mixed dark channel, mixed dark channel prior was combined with near and far scene, and evaluation function of maximum similarity was obtained fine-tuning coefficient of mixed dark channel prior. Secondly, near scene was used light intensity difference of dark channel of pixel point and region center, and far scene was used expansion and corrosion of pixel. Finally, the algorithm process was given. Experimental simulation shows that the mixed dark channel prior has better visual effect and quantitative analysis indexes than other algorithms.
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2020, Vol. 41 
