一种凝视红外成像系统联合非均匀校正算法

随着红外焦平面阵列技术的发展,凝视红外成像系统在很多领域得到了大量的应用,在这些应用中,非均匀性噪声及其校正方法是人们主要关注的一个问题。为了解决这个问题,从凝视红外成像系统非均匀性噪声的来源和频域特性出发,综合考虑了当前几种典型的基于定标和基于场景的非均匀校正算法的优缺点,结合盲元检测和补偿算法,提出了一种联合非均匀校正算法,并进行了实验验证。实验结果表明,该算法能够较好地解决成像系统非均匀性噪声随时间和工作环境漂移的问题,又能够保持较高的精度和收敛速度,具有较大的工程应用价值。

A combined non-uniformity correction algorithm of IR staring imaging system

With the development of IRFPA techniques, IR staring imaging system has been applied in more and more fields. In these applications, the residual non-uniformity and the non-uniformity correction(NUC) algorithms of the output IR images are of major concern. In order to resolve this problem, the non- uniformity sources and their characteristics in spatial frequency domain were studied firstly in this paper, and then the advantages and the disadvantages of both Calibration-based and Scene-based NUC algorithms were taken into account, and finally a combined non-uniformity correction algorithm including Blind-pixel Detection and Compensation was put forward to implement the non-uniformity correction, and the experiments results were given as well. The results shows that the combined non-uniformity correction algorithm can prevent the RNU to increase with the changes of time and working environments well, and has excellent performances in NUC technical applications.