Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (7): 219-224.doi: 10.11896/jsjkx.200700160

• Computer Graphics & Multimedia • Previous Articles     Next Articles

Novel Algorithm of Single Image Dehazing Based on Dark Channel Prior

HE Tao1, ZHAO Ting1, XU He2,3   

  1. 1 College of Electronic and Optical Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
    2 School of Computer Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
    3 Jiangsu Key Laboratory of Wireless Sensor Network High Technology Research,Nanjing 210003,China
  • Received:2020-07-26 Revised:2020-10-06 Online:2021-07-15 Published:2021-07-02
  • About author:HE Tao,born in 1972,Ph.D,lecturer.His main research interests include the survivability of wireless sensor networks,the spectrum allocation of mobile cognitive radio networks,and the QoS routing of computer networks.(het@njupt.edu.cn)
    XU He,born in 1985,Ph.D,associate professor,is a member of China Computer Federation.His main research interests include Internet of Things technology application and information security.
  • Supported by:
    National Key R&D Program of China(2019YFB2103003),National Natural Science Foundation of China(61672296,61872196,61872194,61902196),Scientific and Technological Support Project of Jiangsu Province(BE2019740),Major Natural Science Research Projects in Colleges and Universities of Jiangsu Province(18KJA520008) and Six Talent Peaks Project of Jiangsu Province(RJFW-111).

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Abstract: Because the dark channel prior defogging algorithm will cause color distortion and offset in bright areas such as the sky,a novel algorithm of single image dehazing based on dark channel prior is proposed to improve the image defogging effect.Firstly,according to the size of the image,an adaptive filtering window is designed.Next,in order to prevent the influence of the highlight pixels in the image on the estimation of the atmospheric light value,the variogram is used to remove the highlight pi-xels,and the atmospheric light value is estimated by combining the dark channel map of the image after removing the highlight pi-xel.Then,an improved dark channel prior defogging algorithm combined with structural similarity is proposed,and the transmittance is optimized and corrected.And then,the atmospheric scattering model is used to recover the fog-free image.Finally,the mutual conversion of the RGB model and the HIS model are used to enhance the brightness of the restored image.The experimental results show that the proposed algorithm can not only better dehaze the scene in the picture,but also better deal with bright areas such as the sky,so that the processed image has a good visual effect.

Key words: Bright area, Dark channel prior, Guided filter, Image dehazing, Structural similarity

CLC Number: 

  • TP391
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