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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 signals with severe noise interference, denoising is a necessary condition for accurate recovery of the video signal. Based on the basic structure of lifting wavelet transform algorithm, a multi-adaptive wavelet algorithm is proposed to improve the wavelet denoising algorithm. The adaptive factors are added in the three aspects of prediction, updating and threshold denoising. The traditional wavelet denoising algorithm, wavelet denoising algorithm and wavelet denoising algorithm Multiple adaptive lifting wavelet denoising algorithm to denoise the low signal-to-noise ratio of computer video radiation signal, the results show that the multiple adaptive lifting wavelet denoising algorithm is better than other denoising algorithm.