去雾综述_图像去雾技术研究综述和展望_郭璠.pdf

30 9 Vol ． 30 No ． 9

第 卷第 期 计算机应用

20 10 9 Journal of Computer Applications Sep ． 20 10

年 月

文章编号:100 1 － 908 1 (20 10 )09 － 24 17 － 05

图像去雾技术研究综述与展望

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郭 璠 蔡自兴 谢 斌 唐 琎

( ， 4 10083 )

中南大学信息科学与工程学院 长沙

( guofancsu@ 163 ． com)

: 。

该技术在图像处理与计算机视觉领域具有重要研究价值

， ，

从角度出发对图像去雾技术进行综述

， 。

基于最新提出的新型去雾方法的研究表明

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方向 并给出了一些建议

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关键词 图像去雾 图像处理 物理模型 图像增强

中图分类号:TP39 1． 4 1 ;TP39 1 文献标志码:A

Review and prospect of image dehazing techniques

GUO Fan ， CAI Zi-xing ， XIE Bin ， TANG Jin

( College of Information Science and Engineering, Central South University, Changsha Hunan 410,083, China )

The process of removing haze from images stands as a central challenge in both digital image processing and computer vision fields.

Examining this paper reveals its comprehensive examination of recent advancements in image dehazing. The study meticulously explores new approaches to address the challenges inherent in removing haze from digital images, focusing on insights derived from a physical model standpoint. By delving into the underlying physical principles and digital representation of visual data, this research provides a robust foundation for understanding and mitigating atmospheric effects in imaging systems.

processing ． The essential principles underlying conventional approaches were systematically outlined, and comprehensive reviews of the most advanced technological advancements in the field have been conducted.

Among several representative new haze removal algorithms, both the perceptual visual effect and objective evaluation data were experimentally validated.

to illustrate their haze removal performance ． Finally ， some future rese