场景自适应的红外焦平面成像系统灰度超分辨技术  

Adaptive scene-based gray super-resolution technology of infrared focal plane imaging system

作　　者：贺明[1,2,3] 王亚弟[1] 王新赛 路建方 李志军 

机构地区：[1]信息工程大学电子技术学院,河南郑州450052 [2]防空兵学院,河南郑州450052 [3]上海蓝剑科技发展有限公司,上海201821

出　　处：《红外与激光工程》2014年第7期2138-2142,共5页Infrared and Laser Engineering

基　　金："十二五"国家科技支撑计划课题(2011BAD21B03)

摘　　要：针对目前红外焦平面成像系统在观察目标、特别是弱小目标时,灰度分辨率不足的问题,提出了一种基于场景特性自适应的成像灰度超分辨技术。详细介绍了通过自适应调节红外焦平面成像系统中信号采样范围来进行成像灰度超分辨的方法,包括3个方面的内容:从图像中提取场景有效灰度范围,获取超分辨调整依据;结合基于LMS的自适应滤波算法,对调节依据进行滤波预测后给出调节值;利用调节值分解设置超分辨电路参数,完成针对观察目标的灰度超分辨。最后,对整体方案进行了实验验证。通过在红外焦平面系统中实验证明了场景自适应的成像灰度超分辨方法的可行性,并获得了很好的效果,灰度分辨率有很大提高,经过红外焦平面成像系统综合测试仪测试比较MRTD值可以提高一倍以上。When the IR imaging system observing the target, especially small target, gray resolution is not enough. In this paper, a gray super-resolution technology based on adaptive scene characteristic was proposed. The description on method of imaging super-resolution was given by adjusting the ranges of imaging signals on infrared focal plane imaging system in details. The three contents were as follows：extracting the gray characteristic of the scene, analyzing gray characteristic of scene to get the adjusting witness for super-resolution adjusting; combined with adaptive filtering algorithm based on LMS to give the adjusting parameters after filtering on adjust witness; completing gray super-resolution by controlling the parameters in super-resolution circuit. At last, the total scheme was validated with experiment. The experiment in infrared focal plane array imaging system has proved the feasibility of this method, and the imaging quality is improved evidently. Gray resolution is improved greatly. The system MRTD can be improved more than one times in the test.

关 键 词：场景自适应 灰度超分辨 红外焦平面 自适应滤波算法 

分 类 号：TN219[电子电信—物理电子学]