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Single Image Fog Removal Based on Local Extrema
  • ISSN号:1000-386X
  • 期刊名称:《计算机应用与软件》
  • 时间:0
  • 分类:TP391.41[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:College of Computer Science and Technology, Beijing University of Technology, Department of Electronic Engineering, Tsinghua University, College of Computer Science and Technology Beijing University of Technology
  • 相关基金:supported by Beijing Municipal Education Commission Science and Technology Development Plan key project(KZ201210005007);the Beijing Municipal Education Commission Science and Technology Development Plan project(KM201010005011,KM201310005020)
中文摘要:

Atmospheric conditions induced by suspended particles, such as fog and haze, severely alter the scene appearance.In this paper, we propose a novel defogging method based on the local extrema, aiming at improving the image visibility under foggy or hazy weather condition. The proposed method utilizes atmospheric scattering model to realize the fog removal.It applies the local extrema method to figure out three pyramid levels to estimate atmospheric veil, and manipulates the tone and contrast of details at different scales through multi-scale tone manipulation algorithm. The results on the experiments of comparison with traditional methods demonstrate that the proposed method can achieve more accurate restoration for the color and details, resulting in a great improvement in image visibility.

英文摘要:

Atmospheric conditions induced by suspended particles, such as fog and haze, severely alter the scene appearance. In this paper, we propose a novel defogging method based on the local extrema, aiming at improving the image visibility under foggy or hazy weather condition. The proposed method utilizes atmospheric scattering model to realize the fog removal. It applies the local extrema method to figure out three pyramid levels to estimate atmospheric veil, and manipulates the tone and contrast of details at different scales through multi-scale tone manipulation algorithm. The results on the experiments of comparison with traditional methods demonstrate that the proposed method can achieve more accurate restoration for the color and details, resulting in a great improvement in image visibility. ? 2014 Chinese Association of Automation.

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期刊信息
  • 《计算机应用与软件》
  • 北大核心期刊(2011版)
  • 主管单位:上海科学院
  • 主办单位:上海市计算技术研究所 上海计算机软件技术开发中心
  • 主编:朱三元
  • 地址:上海市愚园路546号
  • 邮编:200040
  • 邮箱:cas@sict.stc.sh.cn
  • 电话:021-62254715 62520070-505
  • 国际标准刊号:ISSN:1000-386X
  • 国内统一刊号:ISSN:31-1260/TP
  • 邮发代号:4-379
  • 获奖情况:
  • 全国计算机类中文核心期刊
  • 国内外数据库收录:
  • 波兰哥白尼索引,美国剑桥科学文摘,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2011版),中国北大核心期刊(2000版)
  • 被引量:27463