计算机应用 ›› 2013, Vol. 33 ›› Issue (09): 2577-2579.DOI: 10.11772/j.issn.1001-9081.2013.09.2577

• 多媒体处理技术 • 上一篇    下一篇

基于运动估计与回溯自适应正交匹配追踪的视频压缩传感

庄燕滨1,2,桂源2,肖贤建1   

  1. 1. 常州工学院 计算机信息工程学院,江苏 常州 213002
    2. 河海大学 计算机与信息学院,南京 211100;
  • 收稿日期:2013-03-29 修回日期:2013-04-30 发布日期:2013-10-18 出版日期:2013-09-01
  • 通讯作者: 桂源
  • 作者简介:庄燕滨(1964-),男,江苏常州人,教授,主要研究方向:智能信息处理、视频图像处理、模式识别;
    桂源(1988-),女,云南临沧人,硕士研究生,主要研究方向:视频图像处理;
    肖贤建(1974-),男,江西宜丰人,副教授,博士,主要研究方向:无线传感网、视频图像处理。
  • 基金资助:

    江苏省科技厅工业支撑计划项目;常州市科技局国际合作项目

Compressed Video Sensing Method Based on Motion Estimation and Backtracking based Adaptive Orthogonal Matching Pursuit

ZHUANG Yanbin1,2,GUI Yuan1,XIAO Xianjian1   

  1. 1. College of Computer and Information Technology Engineering, Hohai University, Nanjing Jiangsu 211100, China;
    2. School of Computer Information and Engineering, Changzhou Institute of Technology, Changzhou Jiangsu 213002, China
  • Received:2013-03-29 Revised:2013-04-30 Online:2013-10-18 Published:2013-09-01
  • Contact: GUI Yuan

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摘要： 为了解决传统视频压缩传感方法中对视频逐帧单独重构所产生的图像模糊,将压缩传感理论与MPEG标准视频编码的相关技术相结合,提出了一种基于运动估计与运动补偿的视频压缩传感方法,以消除视频信号在空域和时域上的冗余。该方法在充分考虑视频序列时域相关性的同时,首先对视频图像进行前、后向和双向预测和补偿,然后采用回溯自适应正交匹配追踪(BAOMP)算法,对运动预测残差进行重构,最后实现当前帧的重构。实验结果表明,该方法较逐帧重构的视频图像质量有较大改善,且可获得更高的峰值信噪比。

关键词: 压缩传感, 视频压缩, 运动估计, 时域相关性, 回溯自适应正交匹配追踪

Abstract: In order to remove the image blurring caused by reconstructing video frames independently frame by frame using traditional compressed video sensing method, this paper proposed a new approach to video compressed sensing based on motion estimation and motion compensation by combining the compressed sensing theory with related technology of MPEG standard video coding, so as to remove the spatial and temporal redundancy of video signal. This method took full account of the temporal correlations of video sequences and firstly compensated video frames using forward, backward and bidirectional prediction, then adopted the Backtracking-based Adaptive Orthogonal Matching Pursuit (BAOMP) algorithm to reconstruct the motion prediction residuals and finally reconstructed current frames. The experimental results indicate that the proposed method can gain a better video image quality compared with frame-by-frame reconstruction method and achieve a higher Peak Signal-to-Noise Ratio (PSNR).

Key words: compressed sensing, video compression, motion estimation, temporal correlation, Backtracking-based Adaptive Orthogonal Matching Pursuit (BAOMP)

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