场景自适应的红外焦平面成像动态范围调整技术

Scene-based dynamic range adaptive adjust technology of infrared focal plane array

针对红外焦平面对辐射强度较大的目标输出动态范围不足的问题,提出了一种场景自适应的红外焦平面成像动态范围调整技术。包括3个方面的内容:从图像中提取目标灰度特征,获取动态范围自适应依据;结合最小均方自适应滤波算法,对调整依据进行滤波预测后给出调节值;把灰度调节值转换成电平值,利用电平值设置红外焦平面偏置电压完成焦平面成像动态范围自适应。最后,对整体方案进行了实验验证。通过在红外焦平面成像系统中实验证明了基于场景成像动态范围自适应方法的可行性,并获得了很好的效果,成像质量有明显提高。

Using the IR imaging system to observe the target, especially strong thermal radiation target, dynamic range is not enough. In this paper, a dynamic range adjust technology based on self adaptivc to scene characteristic is proposed. This paper describes a method of imaging super resolution by adjusting the ranges of imaging signals on infrared focal plane array in dc tails. This method includes three steps. The first step is to extract the gray characteristic of the scene needed observing, analyze the gray characteristic of the target, and get the adjust witness for dynamic range adjusting. The second step is to combine with the adaptive filtering algorithm based on I.MS, and give the adjusting parameters after filtering on adjust witness. The third step is to complete the dynamic range adaptive adjust on imaging of infrared focal plane array imaging system by using electrical levcl value to adjust bias voltage. The total scheme is validated in many experiments using the infrared focal plane array imaging system developed by ourselves. The feasibility of this method is proved during experiments and the quality of imaging is improved cvi dcntly.