低红外和中红外图像的非均匀性校正和不良像素替换

A. Mudau, C. Willers, Derek Griffith, Francois P. J. le Roux
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引用次数: 34

摘要

为了充分发挥当前一代红外焦平面阵列的潜力,对固定模式噪声进行校正是至关重要的。本文介绍了两点非均匀性校正(NUC)在长波和中波红外相机采集的红外图像中的应用。未被NUC过程校正的像素(定义为坏像素)被识别并使用最近邻算法替换。
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Non-uniformity correction and bad pixel replacement on LWIR and MWIR images
To fully exploit the potential of current generation infrared focal plane arrays, it is crucial to correct for the fixed pattern noise. This paper presents two-point non-uniformity corrections (NUC) applied to infrared images acquired with long wave and medium wave infrared cameras. Pixels that are not corrected by the NUC process, defined as bad pixels, were identified and replaced using a nearest neighbor algorithm.
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