红外成像系统图像处理研究

发布时间：2018-06-12 03:33

本文选题：红外成像 + 非均匀校正　；参考：《电子科技大学》2016年硕士论文

【摘要】：随着红外成像技术的迅速发展,红外成像系统被广泛应用于各国军事和民用等许多相关领域,并发挥着重要作用。然而受制造工艺和技术条件的影响,红外图像存在均匀性较差、盲元较多和对比度较低等问题,图像处理是红外成像系统的重点和难点。根据某红外产品总体要求,本文在介绍红外成像系统基本理论和红外图像处理算法研究现状的基础上,详细研究了红外成像系统图像处理方法,主要工作如下:(1)对图像处理常用的非均匀校正方法进行了分析和研究,通过分析基于定标和基于场景校正方法的优缺点,结合某红外产品响应特性,提出了两点+时域高通的非均匀校正方法,首先通过两点校正减弱图像的非均匀性,然后用高通滤波方法完成对校正系数偏移量的实时修正,同时对传统时域高通滤波进行了改进设计;(2)对几种常用的图像盲元检测方法进行研究并提出了新的方法,通过分析常用盲元检测方法存在的问题,提出了基于中值滤波的盲元检测和基于直方图统计的闪烁盲元检测方法,能够有效解决系统恒定盲元和闪烁盲元的检测问题;(3)对红外成像系统图像增强算法进行了研究,图像增强采用空间拉伸的图像灰度增强算法,达到增强小灰度目标,提高图像对比度的目的;(4)对红外成像系统图像滤波算法进行了研究,图像滤波采用增强型高通滤波算法,其中高通滤波用于低频背景滤除,中值滤波用与去除高频噪声,从而使图像信噪比大幅度提高;(5)将上述图像处理算法分别进行了红外图像数据仿真,完成了基于某红外产品图像信息处理硬件平台的图像处理算法实现,并在某红外产品成像系统上进行了试验验证。试验结果表明了本文图像处理算法的有效性和优越性,并具备很高的可靠性和工程实用性。
[Abstract]:With the rapid development of infrared imaging technology, infrared imaging system is widely used in many related fields, such as military and civil fields, and plays an important role. However, influenced by the manufacturing technology and technical conditions, the infrared image has the problems of poor uniformity, more blind element and low contrast, and the image processing is an infrared imaging system. On the basis of the basic theory of infrared imaging system and the current research status of infrared image processing algorithm, the image processing methods of infrared imaging system are studied in detail. The main work is as follows: (1) analysis and Research on the non-uniform correction method used in image processing. After analyzing the advantages and disadvantages of the calibration method and the scene based correction method, the non-uniform correction method of two points + time domain high pass is proposed. First, the nonuniformity of the image is weakened by two points correction. Then the high pass filtering method is used to correct the offset of the corrected series, and the traditional time domain is high. The general filtering is improved. (2) several common blind pixel detection methods are studied and a new method is proposed. By analyzing the problems existing in the common blind detection methods, a blind element detection method based on median filtering and a histogram statistics based scintillation blind element detection method are proposed, which can effectively solve the system constant blind element and the system constant blind element. The detection problem of blinding blind element; (3) the image enhancement algorithm of infrared imaging system is studied. The image enhancement adopts the image gray enhancement algorithm of space stretching to enhance the small gray target and improve the image contrast. (4) the image filtering algorithm of the infrared imaging system is studied, and the image filtering is enhanced high pass filter. Wave algorithm, in which high pass filter is used to filter low frequency background, median filter is used to remove high frequency noise, so that image signal to noise ratio is greatly improved. (5) the image processing algorithm based on the infrared image processing algorithm based on a certain infrared product image processing hardware platform is completed. The experimental results show the effectiveness and superiority of the image processing algorithm in this paper, and have high reliability and engineering practicability.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP391.41

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