Computer Science ›› 2018, Vol. 45 ›› Issue (5): 285-290.doi: 10.11896/j.issn.1002-137X.2018.05.049

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Improved Algorithm of Haze Removal Based on Guided Filtering and Dark Channel Prior

CUI Qian-nan, TIAN Xiao-ping and WU Cheng-mao   

  • Online:2018-05-15 Published:2018-07-25

Abstract: Aiming at the bad influence on outdoor images in fog weather such as decrease of definition and color deviation problem,an improved algorithm of haze removal based on guided filtering and dark channel prior was proposed.Firstly,the rough transmittance is estimated through the dark channel prior,and then the guided filter is adopted to refine the transmission by using the grayscale image as the guidance images.Next,the failure areas of dark channel prior are detected and adjustment factor is used to modify the transmittance.At last,the restored image is obtained from atmospheric scattering model,and the HSI color space intensity equalization method is used to enhance the restored ima-ge.Experimental results show that the proposed algorithm can provide more detailed restored image with natural color effect and improve operational efficiency.

Key words: Image dehazing,Guided filtering,Dark channel prior,Transmittance

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