期刊文献+

三种雾霾图像去雾技术分析

Analysis of Image Defogging Technology for Unmanned Vehicle
下载PDF
导出
摘要 在现实生活中,我国许多城市在秋冬季节都饱受雾霾天气的困扰。雾霾天气的频繁出现,对车辆安全驾驶、道路交通管控都是一个严峻的问题。由于大气中粒子的散射作用,机器拍摄的照片质量严重下降,这不仅影响了照片的视觉效果,也对图像中关键信息的提取产生了不利影响。针对上述问题,通过采取直方图均衡化、Retinex图像增强算法、暗原色先验去雾算法等三种去雾技术,对在雾霾天实际采集的交通路况图片进行处理,并通过比较处理前后图片中车牌信息和图片灰度直方图对结果进行评估,论述不同去雾技术的有效性和实时性。 In real life, many cities in China suffer from haze in autumn and winter. The frequent occurrence of haze weather is a serious problem for vehicle safety driving and road traffic control. Due to the scattering effect of particles in the atmosphere, the quality of the photos taken by the machine is seriously reduced, which not only affects the visual effect of the photos, but also adversely affects the extraction of key information in the images. In view of the above problems, students adopt three common defogging technologies (histogram equalization, Retinex image enhancement algorithm and dark channel prior defogging algorithm) to process the actual traffic condition pictures collected in haze days. The results were evaluated by comparing the license plate information and gray histogram of the images before and after processing.
机构地区 西安交通大学
出处 《图像与信号处理》 2020年第3期156-164,共9页 Journal of Image and Signal Processing
关键词 图像去雾 直方图均衡化 Retinex图像增强算法 暗原色先验去雾算法 Image Defogging Technology Histogram Equalization Retinex Image Enhancement Technology Dark Channel Prior Defogging Technology
  • 相关文献

参考文献11

二级参考文献60

  • 1宋晓建,杨玲.基于图像退化模型的天气现象识别[J].成都信息工程学院学报,2011,26(2):132-136. 被引量:4
  • 2芮义斌,李鹏,孙锦涛.一种图像去薄雾方法[J].计算机应用,2006,26(1):154-156. 被引量:52
  • 3董涛,董慧颖.基于大气调制传递函数的天气退化图像复原方法研究[J].沈阳理工大学学报,2006,25(5):39-42. 被引量:15
  • 4詹翔,周焰.一种基于局部方差的雾天图像增强方法[J].计算机应用,2007,27(2):510-512. 被引量:45
  • 5冈萨雷斯.数字图象处理[M].北京:电子工业出版社,2007:420-454.
  • 6Khellaf A, Beghdadi A, Dupoiset H. Entropic contrast enhance- ment[ J]. IEEE Transactions on Medical Imaging, 1991,10(4) : 589 - 592.
  • 7Kim Y L. Contrast enhancement using brightness preserving bi- histogram equalization [ J]. IEEE Transactions on Consumer Electronics, 1997,43( 1 ) : 1 - 8.
  • 8CaseUes V, Lisani J L, Morel J M, Sapiro G. Shape preserving local histogram modification [ J ]. IEEE Transactions on Image Processing, 1999,8 (2) : 220 - 230.
  • 9Wang C, Ye Z. Brightness preserving histogram equalization with maximum entropy: A variational perspective [ J ]. IEEE Transactions Consumer Electronics, 2005,51 (4) : 1326 - 1334.
  • 10Sheet D, Garud H, Suyeer A, et al. Brightness preserving dy- namic fuzzy histogram equalization [ J]. IEEE Transactions on Consumer Electronics, 2010,56(4) : 2475 - 2480.

共引文献150

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部