2014
DOI: 10.1117/1.jei.23.2.023005
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Feedback-integrated scene cancellation scene-based nonuniformity correction algorithm

Abstract: A new registration-based scene-based nonuniformity correction (SBNUC) technique called the feedback-integrated scene cancellation (FiSC) method is introduced, which demonstrates an ability to correct both high-and low-spatial frequency nonuniformity (NU) in infrared focal plane arrays. The theory of scene-cancellation is further developed to include a referencing mechanism that allows spatially correlated NU to be corrected, and a practical method of application is developed. The algorithm is suitable for impl… Show more

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Cited by 9 publications
(5 citation statements)
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“…However, the bias coefficient will vary widely, whereas the gain coefficient changes only slightly. Hence, the influence of the gain change can be neglected under normal conditions [25]. Based on this observation, the model can be simplified as follows:…”
Section: Nonuniformity Correction Formationmentioning
confidence: 99%
“…However, the bias coefficient will vary widely, whereas the gain coefficient changes only slightly. Hence, the influence of the gain change can be neglected under normal conditions [25]. Based on this observation, the model can be simplified as follows:…”
Section: Nonuniformity Correction Formationmentioning
confidence: 99%
“…One is calibration-based method 115 and the other is scene-based NUC method. 1644 The NUC model is the most important factor in both methods. Scene-based NUC methods depend on scene characteristics to estimate the model parameters.…”
Section: Introductionmentioning
confidence: 99%
“…However, the TPC method requires complex hardware designs for optical structures. There have been studies regarding the compensation of noise without using a reference object, such as a scene-based NUC method and feedback-integrated scene cancellation (FiSC) [ 13 , 14 ]. Weighted nuclear minimization (WNNM) is a state-of-the-art method utilizing the low-rank-based image noise reduction method [ 15 ].…”
Section: Introductionmentioning
confidence: 99%