基于混合远景和近景区域暗通道算法的图像去雾研究

doi:10.3969/j.issn.1000-1158.2019.04.07

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Abstract In order to improve the effect of image dehazing, near and far scene dark channel prior, was proposed. Firstly,mixed dark channel prior was established, which is included minimum channel of near scene and dark channel prior of far scene, and set adjustment coefficient of different scene region. Secondly, atmosphere light value was estimated with 50 pixel color average value of mixed dark channel prior far scene, and added correction coefficient.Thirdly,transmission was optimizated with adaptive sliding window of guided filtering.Finally,process was given.Experiment simulation showed that mixed dark channel prior has better visual effect,and contrast ratio and visible edge contrast ratio of quantitative analysis indexes are better than other algorithms.

Key words： metrology image dehazing mixed dark channel prior near scene far scene adaptive

Received: 08 January 2019 Published: 10 June 2019

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TB96

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	TIAN Yuan

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TIAN Yuan. Image Dehazing Based on Near and Far Scene Dark Channel Prior[J]. Acta Metrologica Sinica, 2019, 40(4): 583-588.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2019.04.07 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2019/V40/I4/583

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