通信学报 ›› 2015, Vol. 36 ›› Issue (9): 91-97.doi: 10.11959/j.issn.1000-436x.2015245

• 学术论文 • 上一篇    下一篇

基于双域滤波的三维块匹配视频去噪算法

肖进胜1,2,李文昊1,姜红1,彭红1,朱神添1   

  1. 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
  • 出版日期:2015-09-25 发布日期:2017-09-15
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;国家留学基金资助项目

Three dimensional block-matching video denoising algorithm based on dual-domain filtering

Jin-sheng XIAO1,2,Wen-hao LI1,Hong JIANG1,Hong PENG1,Shen-tian ZHU1   

  1. 1 SSchool of Electronic Information,Wuhan University,Wuhan 430072,China
    2 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China
  • Online:2015-09-25 Published:2017-09-15
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The State Scholarship Fund of China

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。

关键词: 视频去噪, 双域滤波, 三维块匹配, 小波阈值

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.

Key words: video denoise, dual-domain filtering, three dimensional block-matching, wavelet thresholding

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