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A novel de-interlacing algorithm based on dynamic threshold motion detection

机译:一种基于动态阈值运动检测的新型去交错算法

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In order to solve the noise and blur in traditional de-interlacing algorithm, a novel de-interlacing algorithm based on dynamic threshold motion detection is proposed to detect still and motion parts. First, the dynamic maximum and minimum are obtained according to different situations. Second, the motion detection information from five domain points in four fields are obtained. Then progressive image are obtained according to the motion detection information. Experimental results demonstrate that the algorithm can not only solve still image noise but also solve the motion blur. It can be used in the low-cost chip of digital video processing.
机译:为了解决传统的去交错算法中的噪声和模糊,提出了一种基于动态阈值运动检测的新型去隔行算法来检测静止和运动部件。 首先,根据不同情况获得动态最大值和最小值。 其次,获得来自四个字段中的五个域点的运动检测信息。 然后根据运动检测信息获得逐行图像。 实验结果表明,该算法不仅可以解决静止图像噪声,还可以解决运动模糊。 它可以用于数字视频处理的低成本芯片。

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