Residual reconstruction algorithm based on half-pixel multi-hypothesis prediction for distributed compressive video sensing

doi:10.4018/IJMCMC.2018100102

	Residual reconstruction algorithm based on half-pixel multi-hypothesis prediction for distributed compressive video sensing
	Tong, Ying 1; Chen, Rui 2; Yang, Jie 3; Wu, Minghu 4
	2018-10-01
发表期刊	International Journal of Mobile Computing and Multimedia Communications
ISSN	19379412
卷号	9 期号:4 页码:16-33
摘要	Compressed sensing (CS) provides a method to sample and reconstruct sparse signals far below the Nyquist sampling rate, which has great potential in image/video acquisition and processing. In order to fully exploit the spatial and temporal characteristics of video frame and the coherence between successive frames, we propose a half-pixel interpolation based residual reconstruction method for distributed compressive video sensing (DCVS). At the decoding end, half-pixel interpolation and bi-directional motion estimation helps refine the side information for joint decoding of the non-key-frames. We apply a multi-hypothesis based on residual reconstruction algorithms to reconstruct the non-key-frames. Performance analysis and simulation experiments show that the quality of side information generated by the proposed algorithm is increased by about 1.5dB, with video reconstruction quality increased 0.3~2dB in PSNR, when compared with prior works on DCVS. Copyright © 2018, IGI Global.
关键词	Compressed sensing Data reduction Decoding Image coding Image compression Interpolation Motion estimation Pixels Video signal processing Distributed video coding Multi-hypothesis Performance analysis and simulation Reconstruction algorithms Reconstruction method Side information Temporal characteristics Video reconstruction
DOI	10.4018/IJMCMC.2018100102
收录类别	EI
语种	英语
出版者	IGI Global
EI入藏号	20183905862429
EI主题词	Image reconstruction
EI分类号	716.1 Information Theory and Signal Processing ; 716.4 Television Systems and Equipment ; 723.2 Data Processing and Image Processing ; 921.6 Numerical Methods
来源库	Compendex
分类代码	716.1 Information Theory and Signal Processing - 716.4 Television Systems and Equipment - 723.2 Data Processing and Image Processing - 921.6 Numerical Methods
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/114966
专题	兰州理工大学
作者单位	1.PLA University of Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing, China; 2.Southeast University, Nanjing University of Post and Telecommunications, Nanjing, China; 3.Lanzhou University of Technology, Nanjing University of Posts and Telecommunications, Lanzhou, China; 4.Communication University of China, Huazhong University of Science, Nanjing University of Post and Telecommunications, Beijing, China
推荐引用方式 GB/T 7714	Tong, Ying,Chen, Rui,Yang, Jie,et al. Residual reconstruction algorithm based on half-pixel multi-hypothesis prediction for distributed compressive video sensing[J]. International Journal of Mobile Computing and Multimedia Communications,2018,9(4):16-33.
APA	Tong, Ying,Chen, Rui,Yang, Jie,&Wu, Minghu.(2018).Residual reconstruction algorithm based on half-pixel multi-hypothesis prediction for distributed compressive video sensing.International Journal of Mobile Computing and Multimedia Communications,9(4),16-33.
MLA	Tong, Ying,et al."Residual reconstruction algorithm based on half-pixel multi-hypothesis prediction for distributed compressive video sensing".International Journal of Mobile Computing and Multimedia Communications 9.4(2018):16-33.