A new adaptive nonuniformity correction algorithm for infrared line scanner based on neural networks  

作　　者：隋婧 董立泉 金伟其 张雅元 

机构地区：[1]Laboratory of Infrared Technology,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081

出　　处：《Chinese Optics Letters》2007年第2期74-76,共3页中国光学快报（英文版）

基　　金：This work was supported by the Pre-Research Foundation of National Defense under Grant No. 30404.

摘　　要：The striping pattern nonuniformity of the infrared line scanner （IRLS） severely limits the system performance. An adaptive nonuniformity correction （NUC） algorithm for IRLS using neural network is proposed. It uses a one-dimensional median filter to generate ideal output of network and can complete NUC by a single frame with a high correction level. Applications to both simulated and real infrared images show that the algorithm can obtain a satisfactory result with low complexity, no need of scene diversity or global motion between consecutive frames. It has the potential to realize real-time hardware-based applications.The striping pattern nonuniformity of the infrared line scanner （IRLS） severely limits the system performance. An adaptive nonuniformity correction （NUC） algorithm for IRLS using neural network is proposed. It uses a one-dimensional median filter to generate ideal output of network and can complete NUC by a single frame with a high correction level. Applications to both simulated and real infrared images show that the algorithm can obtain a satisfactory result with low complexity, no need of scene diversity or global motion between consecutive frames. It has the potential to realize real-time hardware-based applications.

关 键 词：PSNR LINE A new adaptive nonuniformity correction algorithm for infrared line scanner based on neural networks 

分 类 号：TP334.22[自动化与计算机技术—计算机系统结构]