Fast iterative adaptive nonuniformity correction with gradient minimization for infrared focal plane arrays |
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| Affiliation: | 1. Electronics and Information College, Hangzhou Dianzi University, Xiasha Campus, Hangzhou 310018, China;2. State Key Lab of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China;1. Laboratoire de Génie Electrique, Université de Bejaia, 06000, Algeria;2. IREENA, Saint Nazaire, France;1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;2. State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China;3. Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing 100876, China;1. Department of Physics & Astrophysics, University of Delhi, Delhi 110007, India;2. Department of Nuclear and Atomic Physics, Tata Institute of Fundamental Research, Mumbai 400005, India;3. GSI Helmholtzzentrum für Schwerionenforschung GmbH, 64291 Darmstadt, Germany;4. Amity Institute of Nuclear Science & Technology, Amity University, Noida 201303, India |
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| Abstract: | A fast scene-based nonuniformity correction algorithm is proposed for fixed-pattern noise removal in infrared focal plane array imagery. Based on minimization of L0 gradient of the estimated irradiance, the correction function is optimized through correction parameters estimation via iterative optimization strategy. When applied to different real IR data, the proposed method provides enhanced results with good visual effect, making a good balance between nonuniformity correction and details preservation. Comparing with other excellent approaches, this algorithm can accurately estimate the irradiance rapidly with fewer ghosting artifacts. |
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| Keywords: | Nonuniformity correction Infrared focal plane arrays L0 gradient minimization |
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