摘要由于红外成像器件本身特性以及外界条件的不一致性，所以每个成像器件对于成像的反应特性具有差异，由此造成了红外焦平面上的非均匀性。对于红外成像焦平面上的非均匀性，如果对探测器的成像特性认作线性响应处理并在温度变化范围不大的前提下，可采用两点温度定标算法、多点温度定标算法等温度定标的方法进行校正，这两种方法也是目前实际应用中最成熟的两种算法，具有实时性强和程序简单易实现的特点。本文所做的工作就是对其中的两点校正的原理和方法进行深入研究，并实际编写并应用程序对红外图像进行处理，以及做出与一点校正的比较。之后运用多种方法对其做了灰度变换处理以及运用拉普拉斯算子对其进行边缘增强处理以得到更好的图像效果。 26026
关键词 红外图像增强；两点校正；非均匀性校正；灰度变换；直方图均衡；锐化；拉普拉斯算子；
Title Research and implementation of infrared image enhancement technology
Abstract
Non-uniformity of infrared focal plane are caused by the
inconsistencies of response characteristics of each imaging devices
which are due to the inconsistencies of the infrared imaging devices’
features and the external conditions. Under the premise of the
inconspicuous temperature range, two-point correction algorithm and
multi-points correction algorithm are adopted if the response
characteristics of the imaging devices are considered as linear .The
two algorithms are widely applied because of their good real-time
operation and simple program. In this paper, the principle and method
of the two-point correction are studied and the program is applied to
deal with the infrared images. The images corrected by two-point
correction algorithm are compared with those which are corrected by one-
point correction algorithm .Then a variety of methods are used to make
gray-scale transformation. is also used to sharpen the
picture for better image quality.
Keywords Infrared Image Enhancement; Non-uniform correction ;
Two-point correction; Gray-scale transformation;
Histogram equalization; Sharpen; Laplace operator;
目 次
1 绪论 1
1.1 研究背景 1
1.2 研究现状 2
2 两点校正 6
2.1 红外图像非均匀性产生原因6
2.2 两点校正算法6
2.2.1 两点校正条件及原理 6
2.2.2 一点校正和两点校正的算法及实验结果9
2.2.3 两点校正会出现的问题及其他方法12
3 灰度变换 15
3.1 灰度线性、非线性变换15
3.2 直方图均衡20
3.2.1 直方图均衡化原理20
3.2.2 直方图均衡化程序及实验效果20
4 锐化23
4.1 空间滤波23
4.2 拉普拉斯算子锐化程序及实验结果23
结论 26
致谢 2 8
参考文献 2 9
1 绪论
1.1 研究背景
红外图像的研究是在上世纪二战中开始的，由于战争的需要，德国研发了最 红外图像增强技术研究与实现:http://www.youerw.com/tongxin/lunwen_20062.html