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Real Time Non-uniformity Correction Algorithm and Implementation in Reconfigurable Architecture for Infra-red Imaging Systems

机译:实时非均匀性校正算法及其在红外成像系统可重构体系结构中的实现

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摘要

In modern electro-optical systems, infra-red (IR) imaging system is an essential sensor used for day and night surveillance. In recent years, advancements in IR sensor technology resulted the detectors having smaller pitch, better thermal sensitivity with large format like 640x512, 1024 x768 and 1280x1024. Large format IR detectors enables realisation of high resolution compact thermal imager having wide field-of view coverage. However, the performance of these infrared imaging systems gets limited by non uniformity produced by sensing element, which is temporal in nature and present in spatial domain. This non uniformity results the fixed pattern noise, which arises due to variation in gain and offset components of the each pixel of the sensor even when exposed to a uniform scene. This fixed pattern noise limits the temperature resolution capability of the IR imaging system thereby causing the degradation in system performance. Therefore, it is necessary to correct the non-uniformities in real time. In this paper, non uniformity correction algorithm and its implementation in reconfigurable architectures have been presented and results on real time data have been described.
机译:在现代电光系统中,红外(IR)成像系统是用于昼夜监控的必不可少的传感器。近年来,IR传感器技术的进步导致检测器具有更小的间距,更好的热敏性以及640x512、1024 x768和1280x1024等大格式。大幅面红外探测器可实现具有宽视野覆盖范围的高分辨率紧凑型热成像仪。然而,这些红外成像系统的性能受到感测元件产生的不均匀性的限制,该不均匀性本质上是暂时的并且存在于空间域中。这种不均匀性导致固定的图案噪声,该噪声是由于传感器的每个像素的增益和偏移分量的变化而引起的,即使暴露在均匀的场景中也是如此。这种固定的图案噪声限制了IR成像系统的温度分辨率,从而导致系统性能下降。因此,有必要实时校正不均匀性。本文提出了非均匀性校正算法及其在可重构体系结构中的实现,并描述了实时数据的结果。

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