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Nonuniformity correction algorithm based on adaptive filter for infrared focal plane arrays
Authors:Hui-xin Zhou  Han-lin Qin  Rui Lai  Bing-jian Wang  Li-ping Bai
Institution:1. School of Technical Physics, Xidian University, Xi’an 710071, China;2. School of Microelectronics, Xidian University, Xi’an 710071, China;3. Academy of Electronics and Information Technology, Beijing 100041, China;1. Electronics Information School, Wuhan University, Wuhan 430072, China;2. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China;1. School of Physics and Optoelectronic Engineering, Xidian University, Xi’an, Shaanxi 710071, China;2. School of Microelectronics, Xidian University, Xi’an, Shaanxi 710071, China;1. School of Mathematics and Statistics, Wuhan University, Wuhan 430072, PR China;2. The 10th Institute of China Electronics Technology Group Corporation, Chengdu 610036, PR China;3. School of Resource and Environmental Science, Wuhan University, Wuhan 430079, PR China;4. The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, PR China;5. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, PR China
Abstract:Response nonuniformity is a key problem that influences the imaging performance of infrared focal plane arrays (IRFPA) imaging system. A parallel processing algorithm to adaptively estimate the nonuniformity correction (NUC) parameters for IRFPA is presented. In this algorithm, a bank of the adaptive filter is applied to adaptively estimate the NUC parameters for every detector in IRFPA. The infrared image sequences are input into the bank of adaptive filter. After certain times recursion calculations are executed frame-by-frame, then the optimal coefficients of the gain and the offset of detector in IRFPA are achieved. Then the NUC is fulfilled ultimately. The algorithm reduces the influence that the response drift with time imposed on NUC effectively, and achieves good NUC effect. It was validated by real experimental imaging procedures.
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