非均匀校正和视觉增强是红外图像处理的关键性技术,其主要是为了解决红外系统在光学、焦平面、读出电路等设计和工艺中存在的问题.基于此,在非均匀校正方面,概述了近年来基于场景的非均匀校正技术和去除"鬼影"现象的发展现状.在视觉增强方面,从灰度值的动态压缩角度阐述了传统方法和红外图像细节增强技术的最新研究成果,以及640×512中波数字化焦平面探测器在增强方面采用的最新技术和成像效果;并从分辨率增强角度介绍了"微扫"技术在红外系统分辨率增强方面的突破技术和相关产品.最后,对红外图像处理发展趋势进行了展望.
Non-uniformity correction(NUC) and vision enhancement are the key techniques of infrared image processing. They serve mainly to resolve the existed problems for infrared system in the design and technology of optics, FPA and circuit reading. In the respect of non-uniformity correction, recent advances on the technique of scenario-based non-uniformity correction, and ghosting artifact are reviewed. In the respect of vision enhancement, traditional method and the new technique of infrared image detail enhancement are expounded from the perspective of gray value dynamic compression, as well as the new imaging enhancement technique used in the MWIR 640×512 digital IRFPA detector. The breakthrough technique and related products of micro-scanning technique used in infrared system resolution enhancement are introduced. Finally, the development trends of infrared image processing are also presented.