Noise Reduction of Video Sequences Using Detection Method

Liangting Ma, Weizhen Sun, Guiquan Xi
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引用次数: 0

Abstract

A noise reduction method of video sequences using moving and noise detection has been proposed in this paper. The proposed filtering method firstly divides pixels into stationary and large moving deviation. Afterwards, by a further detection, we divide the pixels of large moving deviation into noise causing and moving causing so as to use different filtering algorithm to obtain the desired effect. Experimental results have shown that, compared with the conventional adaptive temporal video denoising method, the proposed method protects the edge and detail part in the image more effective, and also overcomes the trailing phenomenon well. Meanwhile, the proposed method has a small computation load, so can be realized and combined with other spatial noise reduction algorithm easily. In a way, it has a certain application value.
基于检测方法的视频序列降噪
提出了一种基于运动和噪声检测的视频降噪方法。本文提出的滤波方法首先将像素点划分为平稳像素点和大偏移像素点。然后,通过进一步的检测,我们将移动偏差较大的像素分为引起噪声的像素和引起运动的像素,从而使用不同的滤波算法来获得期望的效果。实验结果表明,与传统的自适应时域视频去噪方法相比,该方法更有效地保护了图像中的边缘和细节部分,并且很好地克服了尾随现象。同时,该方法计算量小,易于实现并与其他空间降噪算法相结合。在某种程度上,它具有一定的应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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