吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 389-393.

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Image fog removal using improved atmospheric veil inpainting

TAN Hua-chun1, ZHU Yong1, ZHAO Ya-nan1, XIE Xiang2, CHEN Tao3, ZHANG Yu-jin4   

  1. 1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;
    2. School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;
    3. School of Automobile, Chang'an University, Xi'an 710064, China;
    4. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
  • Received:2012-09-05 Published:2013-06-01

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Abstract:

Images captured in foggy weather condition exhibit losses in quality due to atmospheric particles.A novel single image fog removal method was proposed using improved atmospheric veil inpainting.At first,the atmospheric scattering model was simplified,and the coarser atmospheric veil estimate was refined using guided filter approach that improved atmospheric veil inpainting.Then a semi-inverse method of the fog image was produced to estimate the Airlight accurately.Finally,the fog-free image could be recovered by solve imaging physical equation of atmospheric scattering model.Results demonstrate the power of the proposed method performs as an edge-preserving smoothing operator and achieves a great improvement in image visibility.

Key words: computer application, image fog removal, semi-inverse, guided filter

CLC Number: 

  • TP391

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