• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International visual informatics conference >Haze Removal Algorithm Using Improved Restoration Model Based on Dark Channel Prior
【24h】

Haze Removal Algorithm Using Improved Restoration Model Based on Dark Channel Prior

机译：基于暗通道先验的改进恢复模型去除雾霾算法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In recent years, with the rapid development of social economy and the people's living standard, the awareness of security precaution is becoming increasingly important. However, in severe weather conditions, rain and haze have a large influence on the images obtained by video monitoring like the image contrast information, and it has a bad impact on the security work. So the clarity of images becomes very meaningful, and researchers start to pay attention to the field of image dehazing. Among many studies, the dark channel prior dehazing algorithm is a major breakthrough in the field of image dehazing technology. The advantages of this algorithm mainly focus on solving the problem of over-dependence on the physical model of sky scattering, poor adaptability to images containing sky regions and the problem that the processed images are too dark. Based on the atmospheric physical model, this research proposed a haze removal algorithm based on dark channel prior, which has good robustness to the bright sky regions, and also has a good effect on the edges. Firstly, the haze images were detected to see whether sky regions are included or not. Secondly, haze images that have sky regions were segmented into sky region and non-sky region. Then, the haze images that have sky regions and that have no sky regions were dehazed respectively. Finally, the quantitative assessment is based on NIQE (Natural Image Quality Evaluator), and the qualitative assessment is based on human subjective visual standards to compare the intrinsic images results. Quantitative and qualitative results both demonstrate that the performance of the proposed method is better than other techniques in the field of image dehazing that using dark channel prior. The proposed method can be better applied in the area of video image processing.
机译：近年来，随着社会经济的快速发展和人民生活水平的提高，人们对安全防范的认识日益重要。但是，在恶劣的天气条件下，雨和雾对像图像对比度信息之类的通过视频监视获得的图像具有很大的影响，并且对安全工作具有不利的影响。因此，图像的清晰度变得非常有意义，研究人员开始关注图像去雾领域。在许多研究中，暗通道先行除雾算法是图像除雾技术领域的重大突破。该算法的优点主要集中在解决对天空散射物理模型的过度依赖，对包含天空区域的图像的适应性差以及处理后的图像太暗的问题。该研究基于大气物理模型，提出了一种基于暗通道先验的除雾算法，该算法对明亮的天空区域具有良好的鲁棒性，并且对边缘具有良好的效果。首先，检测雾度图像以查看是否包括天空区域。其次，将具有天空区域的雾度图像分为天空区域和非天空区域。然后，分别对具有天空区域和不具有天空区域的雾度图像进行除雾。最后，定量评估基于NIQE（自然图像质量评估器），而定性评估基于人类主观视觉标准以比较固有图像结果。定量和定性结果均表明，该方法的性能优于使用暗通道先验的图像去雾领域中的其他技术。所提出的方法可以更好地应用于视频图像处理领域。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号