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A real-time video denoising method based on lifting scheme
基于提升框架的实时视频降噪方法

Keywords: lifting scheme,video denoising,real-time
提升框架
,视频降噪,实时,提升框架,实时视频,降噪方法,lifting,scheme,based,method,denoising,降噪效果,去噪,实时性,结果,实验,滤波方法,时间域,小波逆变换,收缩,软阈值,层次,小波系数,尺度系数

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Abstract:

Video denoising algorithms based on discrete wavelet transform (DWT) do not allow real-time processing due to their huge computational complexities. To overcome the shortcoming, a new real-time algorithm for video denoising based on lifting scheme was proposed. First, each frame of the video was decomposed into multi-level wavelet to obtain the scaling coefficients and the wavelet coefficients by using lifting scheme. Then, each level of wavelet coefficients was filtered by soft-threshold algorithm. After the inverse wavelet transform, temporal filter was applied on the filtered video to enhance the denoising effect further. Experiments show that this algorithm has better quality in terms of real-time processing and denoising effectiveness.

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