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Motion detection and estimation in low-level-light video sequence

机译:低级光视频序列中的运动检测和估计

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This article introduces motion detection and estimation of low-level-light video sequence, and, motion detection, motion estimation and variational problem. Low-level-light video sequence different form others, the time and space domain noise in the signal not only limit the lowest illuminance of the system but also make the image show random glitter. In this paper how to improve the signal-to-noise ratio (SNR) of low light level image is discussed too. The results show that models and estimation algorithms in low-level-light video sequence can lead to improve reliability and accuracy of the estimated motion.
机译:本文介绍了低级光视频序列的运动检测和估计,以及运动检测,运动估计和变分问题。 低级光视频序列不同的形式,信号中的时间和空间域噪声不仅限制了系统的最低照度,还使图像显示随机闪光。 在本文中,如何提高低光级图像的信噪比(SNR)。 结果表明,低级光视频序列中的模型和估计算法可以提高估计运动的可靠性和准确性。

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