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Motion sensitive frame integration

机译:运动感应框架集成

摘要

Noise smoothing of imaging data is performed using frame integration, by averaging pixels over time instead of space, without resulting in a smear of moving objects by: sensing image motion; and enabling frame integration on only stationary scene pixels. Image motion is sensed by: producing a differencing signal which indicates the difference between new image data and frame integrated data; and comparing the differencing signal with a threshold signal. When the threshold signal has a value which approximately equals expected image noise, then the image data processed by a particular pixel may be deemed non-moving when the difference signal is less than the threshold signal, and the image data may be deemed to depict moving objects otherwise. Finally, image data is conducted unprocessed to the display for moving scene pixels, while frame integrated image data is conducted to the display for stationary scene pixels.
机译:使用帧积分对图像数据进行噪声平滑处理,方法是对时间而不是空间取平均值,对像素进行平均,而不会导致运动物体出现污点。并仅在固定的场景像素上启用帧集成。通过以下方式感测图像运动:产生差分信号,该差分信号指示新图像数据和帧积分数据之间的差异;并将差分信号与阈值信号进行比较。当阈值信号具有近似等于预期图像噪声的值时,则当差值信号小于阈值信号时,可以将由特定像素处理的图像数据视为不运动,并且可以将图像数据视为描绘了运动否则反对。最后,将图像数据未经处理地传输到用于运动场景像素的显示器,而将帧集成图像数据传输到用于静止场景像素的显示器。

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