场景自适应的红外焦平面成像动态范围调整技术

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。

Abstract

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-adaptive 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 details. 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 LMS, 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 level 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 evidently.

参考文献

[1] Austin A R,Shariff D. A novel NIR camera with extended dynamic range［C］//Proc of SPIE.2006:62050G.

[2] JTissot J T, Trouilleau C. Uncooled microbolometer detector: recent development at Ulis［C］//Proc of SPIE. 2005:59640F.

[3] Robert F C, Randa J H, Fieque B, et al. Very wide dynamic range SWIR sensors for very low background applications［C］//Proc of SPIE.1999,3698:757 -765

[4] 张建立,冯如鹏.基于LMS 算法的自适应控制在稳定回路中的应用［J］.红外与激光工程,2006,35(6)：659-662.(Zhang Jianli, Feng Rupeng. A daptive control methed based on LMS algorithm applied the stabilization loop. Infrared and Laser Enginering, 2006,35(6)：659-662)

[5] Yu Yuanhui, Chang Chinchen. A new edge detection approach based on image context analysis［J］. Image and Vision Computing, 2006,10(24):1090-1102.

[6] Zhang Hui, Jason E F, Sally A G. Image segmentaion evaluation: A survey of unsupervised methods［J］. Computer Vision and Image Understanding. 2008,5(110):260-280.

[7] Harris J.Nonuniformity correction of infrared image sequences using the constant statistics constraint［J］. IEEE Trans on Image Processing,1999,8(2):1148-1151.

[8] Seribner D A,Sakady K A.Nonuniformity correction for stating IR focal plane arrays using scene-based techniques ［C］//Proc of SPIE. 1990,1308：224-233.

[9] Tomasi C.Bilateral filtering for gray and color images［C］//Proceedings of the 6th International Conference on Computer Vision.1998:839-846.

[10] Kolmogorov V,Zabih R. What energy functions can be minimized via graph cuts［J］. IEEE Trans on Pattern Analysis and Machine Intelligence, 2004,26(2):147-159.

[11] 景亮, 彭真明, 何艳敏,等 .各向异性SUSAN滤波红外弱小目标检测［J］. 强激光与粒子束, 2013,25(9): 2208-2212.(Jing Liang, Peng Zhenming, He Yanmin, et al. Infrared dim target detection based on anisotropic SUSAN filtering. High Power Laser and Particle Beams, 2013,25(9): 2208-2212)

[12] 白宏刚, 张建奇, 王晓蕊 .基于波原子变换的红外复杂背景杂波抑制算法［J］. 强激光与粒子束, 2013,25(1): 37-41.(Bai Honggang, Zhang Jianqi, Wang Xiaorui. Infrared complex background clutter suppression algorithm based on wave atom transform. High Power Laser and Particle Beams, 2013,25(1): 37-41)

贺明, 王亚弟, 王新赛, 张成斌, 张天一, 路建方, 孙雨宸. 场景自适应的红外焦平面成像动态范围调整技术[J]. 强激光与粒子束, 2014, 26(3): 031002. He Ming, Wang Yadi, Wang Xinsai, Zhang Chengbin, Zhang Tianyi, Lu Jianfang, Sun Yuchen. Scene-based dynamic range adaptive adjust technology of infrared focal plane array[J]. High Power Laser and Particle Beams, 2014, 26(3): 031002.

场景自适应的红外焦平面成像动态范围调整技术

关于本站 Cookie 的使用提示

全站搜索

场景自适应的红外焦平面成像动态范围调整技术

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索