基于小波阈值和主成分分析的视频去噪算法

将局部像素组主成分分析算法引入到视频去噪领域,并利用三维块匹配算法保持了视频序列的相关性,对视频中的噪声进行抑制。用三维块匹配视频去噪算法中小波阈值去噪得到的图像替换二阶局部像素组主成分分析中的第一阶处理得到的图像,这样可以避免局部像素组主成分分析算法直接处理视频时产生的局部效应。最后,局部像素组主成分分析算法也抑制了三维块匹配算法中的小波阈值去噪结果中产生的画面不平滑的问题。实验结果表明,本算法较好地将主成分分析算法引入到了视频去噪领域,同时较好地解决了三维块匹配视频去噪算法中小波阈值去噪的块效应问题,主客观指标的比较也表明本算法有较为优秀的去噪效果。

Video Denoising Algorithm Based on Wavelet Threshold and PCA

This paper introduced the local pixel grouping princical component analysis to video denoising and kept the correlation of the video sequence to suppress the noise of the video by 3D block-matching wavelet thresholding algorithm.The image of the first stage of the local pixel grouping princical component analysis is replaced by the result from wavelet thresholding of 3D block-matching video denoising algorithm to avoid the local effect of local pixel grouping princical component analysis for the video.Finally,local pixel grouping princical component analysis also suppresses the block effect of wavelet thresholding of 3D block-matching video denoising algorithm.Experimental results show that our algorithm introduces the princical component analysis to video denoising and solves the block effect of 3D block-mat-ching video denoising algorithm better.The subjective and objective comparison between different algorithms also proves that our algorithm has better denoising effect.