红外技术, 2018, 40 (10): 952, 网络出版: 2018-12-17   

基于场景的红外焦平面非均匀校正算法综述

A Review of Scene-based Nonuniformity Correction Algorithms for Infrared Focal Plane Arrays
作者单位
1 昆明物理研究所,云南昆明 650223
2 微光夜视技术重点实验室,陕西西安 710065
3 中国兵器工业集团第 298厂,云南昆明 650114
摘要
红外成像已经广泛应用到**和民用当中;但由于受到制造工艺的限制,从红外焦平面得到的图像数据往往需要做非均匀校正。而不同的校正算法往往具有不同的特征和优缺点,为了能让红外成像技术研究者快速找到一种合适的非均匀校正算法,本文调研了国内外最新的基于场景的非均匀校正算法,并以基于高通滤波、基于统计和基于配准几大类的典型研究,分析了各类算法的优缺点,为相关的研究者提供参考。
Abstract
Infrared imaging has been widely used in military and civil applications. However, due to the limitation of the manufacturing process, the image data obtained from infrared focal plane arrays (IRFPA) of ten require nonuniformity correction. Different correction algorithms tend to have different characteristics, advantages, and disadvantages. To determine a suitable algorithm for nonuniformity correction, this paper reviews new nonuniformity correction algorithms, including the high-pass filtering method, statistical methods, and registration-based methods. The advantages and disadvantages of the typical algorithms of various methods are also analyzed to provide a reference for the related research.
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周永康, 朱尤攀, 赵德利, 曾邦泽, 李泽民. 基于场景的红外焦平面非均匀校正算法综述[J]. 红外技术, 2018, 40(10): 952. ZHOU Yongkang, ZHU Youpan, ZHAO Deli, ZENG Bangze, LI Zemin. A Review of Scene-based Nonuniformity Correction Algorithms for Infrared Focal Plane Arrays[J]. Infrared Technology, 2018, 40(10): 952.

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