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Random noise filtering method based on the inter-frame registration

机译:基于帧间配准的随机噪声滤波方法

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摘要

One of the problems to be solved in image processing is how to eliminate image noise effectively. In this work, we brought forward a random noise filtering method based on the inter-frame registration. Firstly, we calculated the relative displacement of the adjacent frames by a registration algorithm. Then we divided the image into the overlapping area and the non-overlapping area according to the relative displacement. Finally, we do noise reduction processing for these two areas respectively. The experiments results indicate that the proposed method can reduce noise in both spatial and time domain of video images. The main advantage is that it cannot only remove noise, but also effectively protect the image edge and detail information. Besides, it not only maintains the de-noising effect of traditional inter-frame algorithm, but also is suitable for moving targets. It has better real-time performance and wider application range.
机译:图像处理中要解决的问题之一是如何有效地消除图像噪声。在这项工作中,我们提出了一种基于帧间配准的随机噪声过滤方法。首先,我们通过配准算法计算了相邻帧的相对位移。然后根据相对位移将图像分为重叠区域和非重叠区域。最后,我们分别对这两个区域进行降噪处理。实验结果表明,该方法可以在视频图像的空间和时域上降低噪声。主要优点是它不仅可以消除噪点,而且可以有效保护图像边缘和细节信息。此外,它不仅保持了传统帧间算法的去噪效果,而且还适用于移动目标。它具有更好的实时性能和更广泛的应用范围。

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