YANG Y,ZHANG S,SHU T. Double light curtain-constrained hazy image restoration algorithm based on improved atmospheric scattering model[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(12):3632-3644 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.1010
Citation: YANG Y,ZHANG S,SHU T. Double light curtain-constrained hazy image restoration algorithm based on improved atmospheric scattering model[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(12):3632-3644 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.1010

Double light curtain-constrained hazy image restoration algorithm based on improved atmospheric scattering model

doi: 10.13700/j.bh.1001-5965.2022.1010
Funds:  National Natural Science Foundation of China (61561030,62063014); Industrial Support Program for Higher Education Institutions in Gansu Province (2021CYZC-04); Lanzhou Jiaotong University Graduate Teaching and Research Project (JG201928); The Outstanding Graduate “Innovation Star” Project of Gansu Provincial Department of Education (2022CXZX-548)
More Information
  • Corresponding author: E-mail:yangyantd@mail.lzjtu.cn
  • Received Date: 26 Dec 2022
  • Accepted Date: 27 Mar 2023
  • Available Online: 15 Apr 2023
  • Publish Date: 12 Apr 2023
  • When a haze-degraded scene is under uneven lighting conditions, some scene details will be less visible due to hazy obscuration and light shadows. To address this issue, a hazy image restoration algorithm with double light curtain boundary constraints based on an improved atmospheric scattering model was proposed. The imaging principle of the conventional atmospheric scattering model was analyzed, and the model was improved by using its degradation mechanism combined with the Retinex theory. The mean inequality relation and Gaussian decay function were introduced to estimate the eigenvalue of the atmospheric light curtain. In addition, the upper and lower boundaries were set to constrain the estimated values. The scene-incident light was obtained by an improved atmospheric scattering model, which was compensated by using the bright channel of the hazy image through the bright channel prior method. The method of local atmospheric light acquisition was improved. A mid-channel-based local atmospheric light estimation method was proposed. The estimated atmospheric light curtain and scene-incident light were introduced into an improved atmospheric scattering model to obtain a hazy-free image. Then, the hazy-free image was fused with the image texture layer to obtain the final restored image. According to the subjective and objective analyses of the experimental results, the proposed algorithm can not only effectively restore the hazy images with uneven scene illumination but also get a better restoration effect for the haze scenes. The restored scene is clear, and the brightness is moderate.

     

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