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航拍降质图像的去雾处理

嵇晓强 戴明 尹传历 冯宇平 柏旭光

光学精密工程2011,Vol.19Issue(7):1659-1668,10.
光学精密工程2011,Vol.19Issue(7):1659-1668,10.DOI:10.3788/OPE.20111907.1659

航拍降质图像的去雾处理

Haze removal for aerial degraded images

嵇晓强 1戴明 2尹传历 1冯宇平 1柏旭光3

作者信息

  • 1. 中国科学院长春光学精密机械与物理研究所,吉林,长春,130033
  • 2. 中国科学院研究生院,北京,100039
  • 3. 青岛科技大学,山东,青岛,266042
  • 折叠

摘要

Abstract

For aerial images with poor contrast and color fidelity due to foggy and hazy weathers, this paper proposes a technique of haze removal for aerial degraded images based on the dark-channel prior and the physical model to improve the visibility of vision system in an Unmanned Aerial Vehicle.From the viewpoints of image restoration and image enhancement, the optimized models of global haze removal and self-adapting contract extending are established,respectively. Using the method, a high quality haze-free image can be recovered and the thickness of the haze can be also established. The experimental results on a variety of outdoor haze images demonstrate that it can enhance the contrast and color definition of hazy degraded images fast and efficiently and can achieve satisfactory visual effects.Moreover, the method overcomes the Kaiming He's drawback of more time consuming, and the average processing time is 10% that of the traditional method. It provides a theoretical reference for the real-time haze removal processing in engineering projects.

关键词

航拍图像/图像复原/图像增强/去雾/暗原色先验

Key words

aerial image/ image restoration/ image enhancement/ haze removal/dark-channel prior

分类

信息技术与安全科学

引用本文复制引用

嵇晓强,戴明,尹传历,冯宇平,柏旭光..航拍降质图像的去雾处理[J].光学精密工程,2011,19(7):1659-1668,10.

基金项目

国家863高技术研究发展计划资助项目(No.2008AA121803) (No.2008AA121803)

国家973重点基础研究发展规划资助项目(No.2009CB72400603B) (No.2009CB72400603B)

光学精密工程

OA北大核心CSCDCSTPCD

1004-924X

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