35 / 2017-04-30 13:35:08
Image Enhancement Algorithm for Highway Tunnel Based on Imaging Model Estimation
Information Entropy,Imaging Model,Haze Removal
全文录用
咏雪 李 / 重庆大学
Abstract—Highway tunnel environment is dim, with the interaction of multi-color light sources, which forms a light haze. Such a complicated scene makes the image blurred and arouses difficulties in the image enhancement. According to the law of haze imaging, a haze removal algorithm for nighttime scene is applied to enhance the tunnel image in this paper. First, the global atmospheric light is estimated as the lower limit of atmospheric light, and the shortest Euclidean distance in the space of brightness is sought as the optimization. Such two results are combined to estimate the local atmospheric light. The lower limit of tunnel local transmission image is then determined by finding the maximum information entropy as the optimization. Tunnel local transmission is estimated based on the weighted smoothness. Finally, the tunnel image is reconstructed after extinction process. The experimental results validate the effectiveness of the proposed algorithm for tunnel image enhancement.
重要日期
  • 会议日期

    10月03日

    2017

    10月05日

    2017

  • 06月25日 2017

    初稿截稿日期

  • 07月05日 2017

    初稿录用通知日期

  • 07月15日 2017

    终稿截稿日期

  • 10月05日 2017

    注册截止日期

联系方式
  • Miss 朱老师
  • +86********
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询