摘要眼睛是非常好的一个图像探测器,但是在整个电磁波谱中,人眼的识别范围实在是太狭窄了。随着周围环境的亮度的下降,人眼的视觉也会变得非常差,分辨力逐渐下降。
微光图像就是在微弱光照或者是低照明情况下拍摄的,由于光照比较弱,所以图片质量并不能让人满意。开展对于微光图像增强的算法的研究,在现代军用和民用领域具有非常大的理论意义和实用价值。27680
本课题以消除图像噪声,提高图像对比度和改善图像质量为目标,主要研究适用于微光图像的增强算法。首先介绍了微光夜视仪的相关知识及其发展状况,在此基础上又详细介绍了国外的几个比较好的图像增强算法。本文还对微光成像系统进行了深入研究,对国内微光成像系统所获得的图像特性进行分析,并总结了微光图像的一些缺点,由此得出增强微光图像的缘由。
本课题对图像增强的传统算法进行了深入研究,借助于MATLAB等工具对图像进行仿真实验和增强分析处理,并根据仿真结果,总结现有的图像增强算法的优缺点。为了解决人们无法确定高动态范围场景下低对比度目标的难题,本文分析了数字细节增强(DDE)的处理方法。这个新型的算法对进一步的应用研究工作具有重要的意义。
关键词 微光图像 增强算法 细节增强
毕业论文设计说明书外文摘要
Title Research on digital enhancement technology for Low-light-level image
Abstract
Eyes are good image detectors, but in the whole electromagnetic spectrum, the recognition range of human eye is too narrow. With the decrease of the brightness of the surroundings, the vision of the human eye becomes very poor, and the resolution of the eye drops gradually.
Low-light-level image is taken in weak light or low light conditions. Because of the weak light,the quality of picture is not satisfactory.The research of the algorithm for the enhancement of the low-light-level images has great theoretical and practical value in the modern military and civilian fields.
The dissertation makes eliminating image noise,enhancing the image contrast and improving the quality of image as the goal,mainly study the enhancement algorithm for the low-light-level image.Firstly,it introduces the relative knowledge and the development of the low light level night vision system , and several foreign image enhancement algorithms.The low-light-level imaging system were in-depth studied in this dissertation,and it also carries on the analysis to the image characteristics from the domestic low-light-level imaging system, , and summarizes some of the disadvantages of low-light-level image, which leads to the conclusion that the reason of enhancing low-light-level image.
This thesis makes a deep research on the traditional algorithms of image enhancement.With the help of Matlab tool,it processed and analysed the image enhancement and summarized the advantages and disadvantages of the existing algorithm of graph image enhancement by simulation experiments.In order to solve the problem that people can't determine the low contrast target in high dynamic range, this paper analyzes the digital details enhancement.This new algorithm has important significance for further research work.
Keywords Low-light-level image Enhancement algorithm Detail enhancement
目 次
1 绪论 1
1.1 课题研究背景 1
1.2 课题的国内外发展状况1
1.3 本文主要研究及论文安排3
2 MATLAB平台4
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