交通图像中强眩光的去除
毕业论文关键字 眩光 去卷积法 数字图像处理 对比度
Title Remove veiling glare from traffic image
Abstract Digital image processing have been more and more widely applied in life,in thetraffic image,veiling glare has an effect on the recognition of traffic signs.A camera to record the image, whether it is by taking a snapshot or a sequence,will be subject to glare restrictions, the brightest object in the scene existwithin visual range reduced by capturing the image contrast, making the objectnot clear and just like be covered by fog. Glare is a global illumination effectof multiple scattered light in the camera's body and lens.The basis of remove glarefrom the image is enhance the contrast of the image.In this paper, we introducethe reasons for causing glare, the application of digital image processing, aswell as a simple method of removing glare from multiple contrast enhancement.Inaddition,in order to finding the existence of veiling glare, we describe the useof the convolution model to measure the glare spread function and the use ofdeconvolution model, finally we remove the veiling glare from the image bydeconvolution.And we verify the reliability and the disadvantage of this methodby comparing the experimental results of several methods.
Keywords veiling glare,deconvolution,digital image processing,contrast ratio
目次
1绪论..1
1.1课题研究的背景.1
1.3本文的主要研究内容.3
2数字图像处理简介.4
2.1图像的特点和分类..4
2.2图像处理的任务和目的4
2.3图像处理的工具.6
2.4图像处理的应用领域.6
3眩光简介..8
3.1眩光的定义及产生的原因..8
3.2交通图像中的眩光10
3.3眩光的测量.12
3.4眩光的光学特征.12
4增强对比度的几种方法..14
4.1线性变换增强对比度..14
4.2非线性变换增强对比度.15
4.3直方图均衡法16
4.4三种方法优缺点简析..17
5去卷积法眩光去除模型和数值试验..18
5.1模型的原理.18
5.2模型分析..20
5.3逆滤波器的特征.20
5.4去卷积模型的计算机实验步骤21
5.5去卷积模型的计算机实验结果21
结论..24
致谢..25
参考文献26
图3.1直接眩光..8
图3.2干扰眩光..9
图3.3反射眩光..9
图3.4对比眩光10
图3.5交通图像中的眩光（部分地方发白）11
图3.6交通图像中的眩光（部分地方有明亮的光环）.11
图4.1线性变换实验结果.14
图4.2非线性变换实验结果15
图4.3直方图均衡化实验结果..17
图5.1点扩散函数简单示意图..18
图5.2去卷积法实验1结果21
图5.3去卷积法实验2结果22
图5.4去卷积法实验3结果22
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