期刊文献+

压缩感知自适应帧图像分组视频编解码器研究

Adaptive Frame Image Grouping Video Codec Based on Compressive Sensing
下载PDF
导出
摘要 目前基于压缩感知的视频编解码器在对视频帧图像进行处理时大多采用固定分组的形式,视频中出现场景快速变化时,其重构视频帧的效果较差。提出一种基于压缩感知的自适应帧图像分组视频编解码器,无论场景变化快慢,均能获到较好的视频帧重构效果。实验结果表明,视频场景快速变换时该编解码器的视频帧重构效果较好。 Currently, ,most video eodec based on compressive sensing using a fixed grouping mode for the video frame image. When the video scene rap- idly changing,its reconstructed video frame effect is poor. In this paper,a adaptive frame image grouping video codec based on compressive sensing is proposed. Whether fast or slow scene changes,good quality of reconstructed video frames are obtained. Simulation results show that our scheme is better in reconstructed video frame quality compared with the fixed grouping mode in the rapidly changing video scenes.
作者 王娴 黄洪琼
出处 《电视技术》 北大核心 2014年第11期67-70,共4页 Video Engineering
基金 国家自然科学基金项目(61271446) 上海海事大学校基金项目(20130470)
关键词 压缩感知 视频编解码 自适应帧图像分组 compressive sensing video codec adaptive frame image grouping
  • 相关文献

参考文献13

  • 1CANDES E. Compressive sampling [ EB/OL]. [ 2013-12-02 ]. http :// www. disp. duke. edu/-dbrady/course-holography/lectures/Compres- siveSampling, pdf.
  • 2BARANIUK R. Compressive sensing[ J]. IEEE Signal Processing Maga- zine,2007,24(4) : 118-120.
  • 3石光明,刘丹华,高大化,刘哲,林杰,王良君.压缩感知理论及其研究进展[J].电子学报,2009,37(5):1070-1081. 被引量:710
  • 4焦李成,杨淑媛,刘芳,侯彪.压缩感知回顾与展望[J].电子学报,2011,39(7):1651-1662. 被引量:316
  • 5WU M,ZHU X. A video code based on distribution compressive sensing [ J ]. Proeedia Engineering,2012(29) :3613-3618.
  • 6DONG G,XI Z. A novel video eodec scheme based on compressive sens- ing[ J]. Journal of Information and Computational Science, 2013, 10 (14) :4681-4689.
  • 7CANDES E. The restricted isometry property and its implications for compressed sensing [ J ]. Comptes Rendus Mathematique, 2008 ( 9-10 ) : 589-592.
  • 8STANKOVIC V,STANKOVIC L,CHENG S. Compressive video sampling [C]//Proc. 16th IEEE International Conference on Image Processing. Poland : IEEE Press ,2009:3001-3004.
  • 9XIE X,LU Z, LAI Z. Fast encoding of video based on compressive sens- ing[ C ]//Proc. YC-ICT ' 09. Beijing: IEEE Press,2009 : 114-117.
  • 10谢晓春,赖昭胜,杨汉祥.基于压缩感知理论的视频编解码器[J].电视技术,2010,34(5):14-17. 被引量:4

二级参考文献209

  • 1张春梅,尹忠科,肖明霞.基于冗余字典的信号超完备表示与稀疏分解[J].科学通报,2006,51(6):628-633. 被引量:71
  • 2R Baraniuk.A lecture on compressive sensing[J].IEEE Signal Processing Magazine,2007,24(4):118-121.
  • 3Guangming Shi,Jie Lin,Xuyang Chen,Fei Qi,Danhua Liu and Li Zhang.UWB echo signal detection with ultra low rate sampling based on compressed sensing[J].IEEE Trans.On Circuits and Systems-Ⅱ:Express Briefs,2008,55(4):379-383.
  • 4Cand,S E J.Ridgelets:theory and applications[I)].Stanford.Stanford University.1998.
  • 5E Candès,D L Donoho.Curvelets[R].USA:Department of Statistics,Stanford University.1999.
  • 6E L Pennec,S Mallat.Image compression with geometrical wavelets[A].Proc.of IEEE International Conference on Image Processing,ICIP'2000[C].Vancouver,BC:IEEE Computer Society,2000.1:661-664.
  • 7Do,Minh N,Vetterli,Martin.Contourlets:A new directional multiresolution image representation[A].Conference Record of the Asilomar Conference on Signals,Systems and Computers[C].Pacific Groove,CA,United States:IEEE Computer Society.2002.1:497-501.
  • 8G Peyré.Best Basis compressed sensing[J].Lecture Notes in Ccmputer Science,2007,4485:80-91.
  • 9V Temlyakov.Nonlinear Methods of Approximation[R].IMI Research Reports,Dept of Mathematics,University of South Carolina.2001.01-09.
  • 10S Mallat,Z Zhang.Matching pursuits with time-frequency dictionaries[J].IEEE Trans Signal Process,1993,41(12):3397-3415.

共引文献960

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部