title: Compressive Video Recovery Using Block Match Multi-Frame Motion Estimation Based on Single Pixel Cameras.
abstract: 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%.
authors.affiliation: School of Computer Science &amp; Engineering, South China University of Technology, Guangzhou 510006, China. picy@scut.edu.cn.|China State key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China. picy@scut.edu.cn.|Mechanical and Biomedical Engineering Department, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China. picy@scut.edu.cn.
authors.forename: Sheng
authors.initials: S
authors.lastname: Bi
authors.affiliation: School of Computer Science &amp; Engineering, South China University of Technology, Guangzhou 510006, China. zengxiao1028@gmail.com.
authors.forename: Xiao
authors.initials: X
authors.lastname: Zeng
authors.affiliation: Mechanical and Biomedical Engineering Department, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China. xintang2-c@my.cityu.edu.hk.
authors.forename: Xin
authors.initials: X
authors.lastname: Tang
authors.affiliation: China State key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China. qinshujia@sia.cn.
authors.forename: Shujia
authors.initials: S
authors.lastname: Qin
authors.affiliation: China State key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China. kinglai@cityu.edu.hk.|Mechanical and Biomedical Engineering Department, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China. kinglai@cityu.edu.hk.
authors.forename: King Wai Chiu
authors.initials: KW
authors.lastname: Lai
keywords: compressive sensing; motion estimation; single pixel camera; video sampling