红外焦平面非均匀性自适应校正算法实时实现  

Adaptive Non-uniformity Correction Algorithm Real-time Implementation for IRFPA

作　　者：王炳健[1] 拜丽萍[1] 刘上乾[1] 

机构地区：[1]西安电子科技大学技术物理学院,西安710071

出　　处：《中国电子科学研究院学报》2008年第2期174-176,186,共4页Journal of China Academy of Electronics and Information Technology

摘　　要：由于材料、工艺等原因,红外焦平面阵列(IRFPA)各单元普遍存在响应不一致的现象,从而导致IRFPA都存在非均匀性。非均匀性校正(NUC)是红外图像处理系统中的重要环节。文章在研究了基于神经网络的NUC算法的基础上,提出了一种采用DSP与FPGA相结合实现基于神经网络的非均匀性自适应校正算法实时实现硬件方法,在该方法中利用FPGA并行处理能力强的特点,对焦平面阵列进行非均匀性校正,而DSP的计算能力强,完成校正系数的自适应更新。将该方法应用于128×128红外成像系统中,可使系统长期稳定地工作,克服了校正参数的漂移问题。Influenced by detectors＇ material, related manufacturing technology etc. , every detection element＇s responsivity of infrared focal plane arrays （IRFPA） is different, which results in non-uniformity of IRFPA. So non-uniformity correction （NUC） is an important technique for IRFPA. A real-time implementation of adaptive NUC algorithm based on neural network by using FPGA and DSP is presented in this paper. NUC is implemented by using FPGA to make use of its parallel processing ability. And correction parameters are updated by using DSP to make use of its high computation ability. This method is implemented in 128 × 128 IRFPA imaging system. And the imaging system can operate stably for a long time. The problem of correction parameters drift with operation temperature is overcome.

关 键 词：红外焦平面阵列 非均匀性自适应校正 神经网络 实时实现 

分 类 号：TN911.73[电子电信—通信与信息系统]