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

doi:10.4018/IJMCMC.2018100102

CORC > 兰州理工大学 > 兰州理工大学

	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
刊名	International Journal of Mobile Computing and Multimedia Communications
	2018-10-01
卷号	9 期号:4 页码:16-33
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
ISSN号	19379412
DOI	10.4018/IJMCMC.2018100102
英文摘要	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.
语种	英语
出版者	IGI Global
内容类型	期刊论文
源URL	[http://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.