计算机应用 ›› 2010, Vol. 30 ›› Issue (9): 2417-2421.

• 计算机仿真与图形图像处理 • 上一篇    下一篇

图像去雾技术研究综述与展望

郭璠1,蔡自兴1,谢斌2,唐琎3   

  1. 1. 中南大学信息科学与工程学院
    2.
    3. 中南大学
  • 收稿日期:2010-03-11 修回日期:2010-04-17 发布日期:2010-09-03 出版日期:2010-09-01
  • 通讯作者: 郭璠
  • 基金资助:
    基于图形处理器的高性能计算

Review and prospect of image dehazing techniques

  • Received:2010-03-11 Revised:2010-04-17 Online:2010-09-03 Published:2010-09-01

摘要: 图像去雾技术是图像处理和计算机视觉领域共同关心的重要问题。通过从图像处理和物理模型的研究角度对图像去雾技术进行综述,综合了近年来提出的典型的图像去雾方法的基本原理和最新研究进展,并对一些典型的及最新提出的去雾方法,给出了其视觉上的去雾效果和客观的评估数据。最后展望了图像去雾技术的未来研究方向,并给出了一些建议。

关键词: 图像去雾, 图像处理, 物理模型, 图像增强

Abstract: Image dehazing is an important issue that interests both digital image processing and computer vision areas. This paper surveyed the recent techniques for image dehazing from the point view of physical model and digital image processing. Some fundamental principles of typical methods were summarized and the state-of-the-art progress was presented. For some typical, new haze removal algorithms, both the perceptual visual effect and objective evaluation data were presented to illustrate their haze removal performance. Finally, some future research topics on image dehazing were suggested.

Key words: image dehazing, image processing, physical model, image enhancement

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