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

机译:基于红外成像系统的可重构架构实时非均匀性校正算法及其实现

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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 640.512, 1024.768 and 1280.1024. 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,红外线(IR)成像系统是一天和夜间监视的基本传感器。近年来,IR传感器技术的进步导致探测器具有较小的俯仰,具有更好的热敏灵敏度,具有640.512,1024.768和1280.1024的大格式。大型IR探测器可以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通过传感元件产生的非均匀性的限制,该元素是时间的,其在空间域中存在并且存在于空间域中。这种非均匀性导致固定图案噪声,其由于传感器的每个像素的增益和偏移部件的变化而产生,即使在暴露于均匀场景时也是如此。该固定图案噪声限制了IR成像系统的温度分辨率,从而导致系统性能下降。因此,有必要实时校正非均匀性。在本文中,已经呈现了非均匀性校正算法及其在可重新配置架构中的实现,并描述了实时数据的结果。

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