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首页> 外文期刊>Journal of information and computational science >A Novel Video Denoising Method Based on Total Variation and Recursive Temporal Filtering
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A Novel Video Denoising Method Based on Total Variation and Recursive Temporal Filtering

机译：基于总变化和递​​归时间滤波的视频降噪新方法

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摘要

In this paper a novel video denoising method based on Total Variation (TV) and temporal filtering is proposed. In the proposed model the motion detector is applied and the area quality is taken into consideration. The proposed model has the capability to acclimate in each area in accordance with the area information. More accurately, less noise removal is carried out in the areas where the motion has been detected and vice versa. In our video denoising scheme, noise removal is accomplished as follows. Firstly, the TV filter is applied to the previously denoised frame and current noisy frame to minimize the blurring. Secondly, the temporal filter is performed to the total variation's output for more improvement. Thirdly, the motion detector and recursive time-average are applied for more noise suppression. The experimental results have demonstrated the superiority of the proposed model in terms of noise removal and edges preservation as compared with some well-known methods.
机译：提出了一种基于总变化量和时间滤波的视频去噪方法。在提出的模型中，应用了运动检测器，并考虑了区域质量。提出的模型具有根据区域信息适应每个区域的能力。更准确地说，在已检测到运动的区域中进行的噪音去除较少，反之亦然。在我们的视频降噪方案中，噪声去除如下完成。首先，将TV滤波器应用于先前去噪的帧和当前的噪声帧，以使模糊最小化。其次，对总变化量的输出执行时间滤波以进一步改善。第三，采用运动检测器和递归时间平均来进一步抑制噪声。实验结果表明，与一些众所周知的方法相比，该模型在噪声去除和边缘保留方面具有优越性。

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