Compressive video recovery using block match multi-frame motion estimation based on single pixel cameras
Bi S(毕盛); Zeng, Xiao; Tang, Xin; Qin SJ(秦书嘉); Lai, King Wai Chiu
刊名Sensors
2016
卷号16期号:3页码:1-18
关键词single pixel camera motion estimation video sampling compressive sensing
ISSN号1424-8220
通讯作者Lai, King Wai Chiu
产权排序1
中文摘要Compressive sensing (CS) theory has opened up new paths for the development of signal processing applications. Based on this theory, a novel single pixel camera architecture has been introduced to overcome the current limitations and challenges of traditional focal plane arrays. However, video quality based on this method is limited by existing acquisition and recovery methods, and the method also suffers from being time-consuming. In this paper, a multi-frame motion estimation algorithm is proposed in CS video to enhance the video quality. The proposed algorithm uses multiple frames to implement motion estimation. Experimental results show that using multi-frame motion estimation can improve the quality of recovered videos. To further reduce the motion estimation time, a block match algorithm is used to process motion estimation. Experiments demonstrate that using the block match algorithm can reduce motion estimation time by 30%.
WOS标题词Science & Technology ; Physical Sciences ; Technology
类目[WOS]Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
研究领域[WOS]Chemistry ; Electrochemistry ; Instruments & Instrumentation
关键词[WOS]ROBUST UNCERTAINTY PRINCIPLES ; RECONSTRUCTION
收录类别SCI ; EI
语种英语
WOS记录号WOS:000373713600137
内容类型期刊论文
源URL[http://ir.sia.cn/handle/173321/17732]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Bi S,Zeng, Xiao,Tang, Xin,et al. Compressive video recovery using block match multi-frame motion estimation based on single pixel cameras[J]. Sensors,2016,16(3):1-18.
APA Bi S,Zeng, Xiao,Tang, Xin,Qin SJ,&Lai, King Wai Chiu.(2016).Compressive video recovery using block match multi-frame motion estimation based on single pixel cameras.Sensors,16(3),1-18.
MLA Bi S,et al."Compressive video recovery using block match multi-frame motion estimation based on single pixel cameras".Sensors 16.3(2016):1-18.
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