基于双域滤波的三维块匹配视频去噪算法

肖进胜; 李文昊; 姜红; 彭红; 朱神添

doi:10.11959/j.issn.1000-436x.2015245

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基于双域滤波的三维块匹配视频去噪算法

学术论文 | 更新时间：2024-06-05

- 基于双域滤波的三维块匹配视频去噪算法
- Three dimensional block-matching video denoising algorithm based on dual-domain filtering
- 通信学报 2015年36卷第9期页码：91-97
- 作者机构：
  
  1. 武汉大学电子信息学院，湖北武汉 430072
  2. 武汉大学测绘遥感信息工程国家重点实验室，湖北武汉 430079
- 作者简介：
  
  [ "肖进胜（1975-），男，湖北武汉人，武汉大学副教授，主要研究方向为视音频信号处理和网络通信等。" ]
  [ "李文昊（1991-），男，河南信阳人，武汉大学硕士生，主要研究方向为视频图像处理。" ]
  [ "姜红（1990-），男，安徽六安人，武汉大学硕士生，主要研究方向为视频图像处理。" ]
  [ "彭红（1990-），女，湖北广水人，武汉大学硕士生，主要研究方向为视频图像处理。" ]
  [ "朱神添（1988-），男，广东英德人，武汉大学硕士生，主要研究方向为视频图像处理。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61471272);国家自然科学基金资助项目(91120002);国家留学基金资助项目(201306275044)
- DOI：10.11959/j.issn.1000-436x.2015245
  中图分类号： TP391.6
- 网络出版日期：2015-09，
  
  纸质出版日期：2015-09-25
- 稿件说明：
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肖进胜, 李文昊, 姜红, 等. 基于双域滤波的三维块匹配视频去噪算法[J]. 通信学报, 2015,36(9):91-97.

Jin-sheng XIAO, Wen-hao LI, Hong JIANG, et al. Three dimensional block-matching video denoising algorithm based on dual-domain filtering[J]. Journal on communications, 2015, 36(9): 91-97.
肖进胜, 李文昊, 姜红, 等. 基于双域滤波的三维块匹配视频去噪算法[J]. 通信学报, 2015,36(9):91-97. DOI： 10.11959/j.issn.1000-436x.2015245.

Jin-sheng XIAO, Wen-hao LI, Hong JIANG, et al. Three dimensional block-matching video denoising algorithm based on dual-domain filtering[J]. Journal on communications, 2015, 36(9): 91-97. DOI： 10.11959/j.issn.1000-436x.2015245.

摘要

将双域滤波和三维块匹配算法相结合，充分利用了视频序列的时空频域的相关性，进行视频去噪。将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原引导图像，抑制了双域滤波算法基本层不平滑的问题。参考残差矩阵的能量谱对短时傅里叶变换系数进行阈值收缩，减少细节层的噪声残留。实验结果表明，本算法有效地解决了双域滤波算法的基本层不平滑、细节层有噪声残留的问题，主观和客观对比也表明，本算法有着较为优秀的去噪效果。

Abstract

The dual-domain filtering was used to remove the video noise combining with three dimensional block-matching.The correlation of time-space domain for the video sequence was fully considered.The noisy image was replaced by the result of wavelet thresholding in three dimensional block-matching video denoising algorithm as guide image

so that the base layer was smoother.Then

considering the energy spectrum of the residual matrix

the short-time Fourier transform coefficients were shrinkage which decreased the noise of the detail layer.Experimental results show that the proposed algorithm has better base layer and detail layer than the original dual-domain filtering.The subjective and objective comparison between different algorithms also proves that proposed algorithm has better denoising result.

关键词

Keywords

references

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