首页> 外文期刊>Optics Communications: A Journal Devoted to the Rapid Publication of Short Contributions in the Field of Optics and Interaction of Light with Matter >Improvement in adaptive nonuniformity correction method with nonlinear model for infrared focal plane arrays
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Improvement in adaptive nonuniformity correction method with nonlinear model for infrared focal plane arrays

机译:红外焦平面阵列非线性模型自适应非均匀校正方法的改进

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摘要

The scene adaptive nonuniformity correction (NUC) technique is commonly used to decrease the fixed pattern noise (FPN) in infrared focal plane arrays (IRFPA). However, the correction precision of existing scene adaptive NUC methods is reduced by the nonlinear response of IRFPA detectors seriously. In this paper, an improved scene adaptive NUC method that employs "S"-curve model to approximate the detector response is presented. The performance of the proposed method is tested with real infrared video sequence, and the experimental results validate that our method can promote the correction precision considerably.
机译:场景自适应不均匀性校正(NUC)技术通常用于减少红外焦平面阵列(IRFPA)中的固定模式噪声(FPN)。然而,IRFPA探测器的非线性响应严重降低了现有场景自适应NUC方法的校正精度。在本文中,提出了一种改进的场景自适应NUC方法,该方法采用“ S”曲线模型来近似检测器响应。通过真实的红外视频序列测试了该方法的性能,实验结果证明了该方法可以大大提高校正精度。

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