多重自适应提升小波去噪在计算机视频截获中的应用

Application of Multi-adaptive Lifting Wavelet Denoising in Computer Video-intercepting

对于噪声干扰严重的计算机视频辐射信号,去噪是准确恢复视频信号的必要条件。基于提升小波变换算法的基本结构,提出多重自适应提升小波去噪算法,在预测、更新、阈值去噪等3个环节加入自适应因子,分别利用传统小波去噪算法、提升小波去噪算法以及多重自适应提升小波去噪算法对低信噪比的计算机视频辐射信号进行去噪处理,结果表明多重自适应提升小波去噪算法的去噪效果优于其它去噪算法。

For computer video radiation signal of low SNR, denoising is necessary for restoring video signal accurately. Based on the basic structure of lifting wavelet algorithm, the denoising algorithm of multi-adaptive lifting wavelet is proposed. In the opera- tions of predicting, updating, and threshold denoising, the adaptive factors are added. The algorithm of traditional denoising, lift- ing wavelet denoising, and multi-adaptive lifting wavelet denoising are used to deal with the computer video radiation signal of low SNR, the results show that the effect of multi-adaptive lifting wavelet denoising algorithm is better than others.