A two-frame approach for scene-based nonuniformity correction in array sensors |
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| Institution: | 1. Jiangsu Key Laboratory of Spectral Imaging & Intelligence Sense, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China;2. Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing Institute of Technology, Beijing 100081, China;1. Jiangsu Key Laboratory of Spectral Imaging & Intelligence Sense, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China;2. Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing Institute of Technology, Beijing 100081, China;1. Smart Computational Imaging Laboratory (SCILab), Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China;2. Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China;1. Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China;2. Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China. Beijing Institute of Technology, Beijing 100081, China;1. Brookhaven National Laboratory - NSLS II, 50 Rutherford Dr., Upton, NY 11973-5000, USA;2. Jiangsu Key Laboratory of Spectral Imaging & Intelligence Sense, Nanjing University of Science and Technology, Nanjing 210094, China;3. College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha 410073, China;4. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore;1. Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Xiaolingwei 200#, Nanjing 210094, China;2. Nanjing University of Science and Technology, Jiangsu Key Laboratory of Spectral Imaging & Intelligence Sense, Xiaolingwei 200#, Nanjing 210094, China |
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| Abstract: | This paper introduces a new scene-based technique to correct the fixed-pattern noise (FPN) in array sensors. This method registers a pair of image frames exhibiting small relative scene translation and then the noise pattern can be reconstructed using the constrained least-squares estimation. The key advantage of this technique is that the accurate estimates of the bias nonuniformity can be obtained with only two images, without imposing any assumptions on the structure of the FPN. Besides, the method works on almost static scene, and therefore does not require larger scale global motion and statistical assumptions on the scene irradiance. We test our method on synthetically generated FPN as well as with real infrared data, and experimental results demonstrate the significant reduction in FPN, validating the effectiveness of our approach. Finally, we validate the feasibility and validity of using the proposed method as a first step fostering the success of more sophisticated registration-based time-evolving correction algorithms. |
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| Keywords: | Scene-based nonuniformity correction Two frames Registration Focal plane arrays Fixed pattern noise |
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