matlab红外图像增强的算法研究
摘要由于红外成像系统极其容易受到所处外界环境的干扰以及器件设备本身的缺陷，其所成的红外图像带有低对比度、低信噪比和背景复杂等特点，在图像的识别和检测上给我们带来了诸多不便。为了提高红外图像的图像质量，我们得想法对红外图像进行改善。通常我们采用对红外图像进行增强处理的方法。64886
通过数字图像处理的知识可知，图像增强方法一般可以分为两类，一是频域增强方法；二是空域增强方法。频域增强方法频率处理能力较好，但计算量大。空域处理方法实时性和自适应性较强，运算量小，但不能有效的控制各个部分使其无法反映各部分在频率上的区别。本文通过matlab对各种图像增强方法对红外图像进行了增强处理，并分析比较其优缺点，指明了其最佳适用场景，从中总结出一套效果较好的红外图像增强算法的应用方案。
毕业论文关键词 红外图像 频域 空域 增强 算法
毕业设计说明书（论文）外文摘要
Title Research on Algorithm of infrared image enhancement
Abstract Because of the infrared imaging system is easily affected by defects in the external environment interference and device of the equipment itself, the infrared image with low contrast, low signal-to-noise ratio and complex background, to give us a lot of inconvenience in the identification and detection of the image. In order to improve the image quality of the infrared image, we must try to improve the infrared image. Usually we use the method of infrared image.
Through the knowledge of digital image processing, image enhancement methods generally can be pided into two categories, one is to enhance the frequency domain method; two is to enhance the method of airspace. Enhancement in the frequency domain method of frequency processing ability is better, but the large amount of calculation. Spatial processing method of real time and strong adaptability, a small amount of computation, but can not effectively control all make it can not reflect the difference in the frequency of each part of the. In this paper, by means of MATLAB on various image enhancement method for infrared image enhancement, and compares their advantages and disadvantages, and pointed out its application scene, summarizes a better way of the application scheme of the algorithm of infrared image enhancement.
Keywords Infrared image,Frequency domain,Airspace,Enhance,Algorithm
目 录
1 绪论 1
1．1 红外图像技术的发展概况及现状 1
1．2 本课题的研究意义 2
1．3 本课题的主要研究工作 2
2 红外图像的背景和噪声分析 3
2．1 红外图像的数学模型 3
2．2 红外图像的背景分析 3
2．3 红外图像的噪声分析 4
2.3.1 散粒噪声 4
2.3.2 光子噪声 5
2.3.3 热噪声 5
2.3.4 1/f噪声 5
2.3.5 产生-复合噪声