摘要恶劣天气条件下获得的图像能见度一般都很低,这大大降低了它的应用价值,对交通、军事、航空航天等领域的图像信息处理带来了极大的影响。因此对低能见度图像进行清晰化处理有着重要的意义。64768
图像增强算法不考虑图像的退化原因,只是按照特定需要突出或抑制图像中的某些信息,达到增强有用信息的目的。本文首先分析了图像退化的原因以及退化图像的特点。然后介绍了各种传统的图像增强方法和基于视网膜皮层理论的Retinex算法。将直方图均衡化、同态滤波、单尺度Retinex 算法和多尺度Retinex 算法进行比较,得出退化图像有效的处理方法。
毕业论文关键字 低能见度图像 直方图均衡 同态滤波 Retinex
毕业设计说明书(论文)外文摘要
Title Image Enhancement Processing of Low Visibility
Abstract
The visibility of images which are obtained in bad weather is low.The value of this image is decreased greatly,and they make bad effect on the image processing in traffic,military,aerospace etc.For this leason,the study on how to clear the images has very important significance.
Image enhanced takes no account of the reason of the degeneration and only according to the specific need extrude or restrain some information of the image.In this dissertation, firstly,we analyzes the causes of image degradation and characteristic of degraded image.Then a variety of traditional algorithms and Retinex algorithms based on the Retina and Cortex Theory are introduced.We put Histogram Equalization, Homomorphic Filtering, Single-scale Retinex and Multi-scale Retinex to compare. And figure out the effective methods in processing degraded image.
Keywords low visibility image Histogram Equalization Homomorphic Filtering Retinex
目 次
1 绪论 1
1.1 课题背景及研究的目的和意义 1
1.3 本文内容及章节安排 4
2 基础理论 5
2.1 基本视觉成像原理 5
2.1.1 人眼的结构 5
2.1.2 眼睛中图像的形成 5
2.1.3 亮度适应的辨别 5
2.2 低能见度图像退化模型 6
2.2.1 大气效应及其对成像的影响 6
2.2.2 低能见度图像特征 7
2.3 本章小结 8
3 低能见度图像增强的传统算法 9
3.1 对比度增强 9
3.2 线性变换 10
3.3 分段线性变换 10
3.4 非线性变换 11
3.4.1 对数变换 11
3.4.2 伽马校正 11
3.5