## MATLAB图像去雾技术算法研究及实现

Abstract
Degradation of images by the atmosphere is an extremely familiar problem.Imaging in the atmosphere is often limited by atmospheric scattering caused by aerosols such as haze, fog,mist and cloud.In the case of fog or haze,image characteristics such as contrast,resolution and color of targets in outdoor shooting  photos attenuate,due to atmospheric scattering.Seriously,it has caused the abnormal work of outdoor video system and brought great distress to the management and security departments.To achieve clear image,it is necessary to eliminate the effects of atmospheric scattering caused by fog. A variety of effective image defogging algorithms are discussed in this paper.MATLAB,a digital image processing tool,is used to study typical algorithms of image defogging technology.This paper comprehensive compare the application background and image defogging effects of several algorithms,to provide technical reference for those who need.

Keywords  Atmospheric scattering，Image defogging technology， MATLAB，Digital image processing

1  引言（绪论）    1
1.1  研究背景、目的及意义    1
1.2  国内外发展现状    1
1.3  本文研究的主要内容及研究手段    2
2  去雾技术算法原理介绍    3
2.1  全局化的图像增强方法    3
2.2  局部化的图像增强方法    4
2.3  图像复原方法    4
2.3.1  基于大气调制传递函数(MTF) 图像复原    5
2.3.2  基于偏微分方程的雾天图像复原    5
2.3.3  基于深度关系的雾天图像复原    5
2.3.4  基于先验信息的雾天图像复原    5
2.4  小结    6
3  MATLAB软件介绍    7
4  去雾处理算法研究    9
4.1  基于直方图均衡化的去雾算法设计与实现    9
4.1.1  直方图均衡化    9
4.1.2  用直方图均衡化方法进行去雾处理的算法实现    9
4.2  基于暗原色先验的图像去雾算法    13
4.2.1  暗原色先验    13
4.2.2 基于暗原色先验去雾算法原理    13
4.2.3  基于暗通道先验的去雾算法实现    15
4.3  基于双边滤波的实时图像去雾算法    16
4.3.1  基于暗原色先验的大气光估计    16

4.3.2  基于双边滤波的去雾算法及效果    17
4.4  三种算法的比较    19

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