TY - GEN
T1 - High-speed imaging using CMOS image sensor with quasi pixel-wise exposure
AU - Nagahara, Hajime
AU - Sonoda, Toshiki
AU - Endo, Kenta
AU - Sugiyama, Yukinobu
AU - Taniguchi, Rin Ichiro
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number 27•5055. We are grateful to Jinwei Gu (Nvidia) and Dengyu Liu (Intel) for providing reconstruction codes and valuable discussions. We also thank to Makoto Ohsaki and Takuya Yoda for kind cooperations to our experiments.
Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/15
Y1 - 2016/6/15
N2 - Several recent studies in compressive video sensing have realized scene capture beyond the fundamental trade-off limit between spatial resolution and temporal resolution using random space-time sampling. However, most of these studies showed results for higher frame rate video that were produced by simulation experiments or using an optically simulated random sampling camera, because there are currently no commercially available image sensors with random exposure or sampling capabilities. We fabricated a prototype complementary metal oxide semiconductor (CMOS) image sensor with quasi pixel-wise exposure timing that can realize nonuniform space-time sampling. The prototype sensor can reset exposures independently by columns and fix these amount of exposure by rows for each 8×8 pixel block. This CMOS sensor is not fully controllable via the pixels, and has line-dependent controls, but it offers flexibility when compared with regular CMOS or charge-coupled device sensors with global or rolling shutters. We propose a method to realize pseudo-random sampling for high-speed video acquisition that uses the flexibility of the CMOS sensor. We reconstruct the high-speed video sequence from the images produced by pseudo-random sampling using an over-complete dictionary. The proposed method also removes the rolling shutter effect from the reconstructed video.
AB - Several recent studies in compressive video sensing have realized scene capture beyond the fundamental trade-off limit between spatial resolution and temporal resolution using random space-time sampling. However, most of these studies showed results for higher frame rate video that were produced by simulation experiments or using an optically simulated random sampling camera, because there are currently no commercially available image sensors with random exposure or sampling capabilities. We fabricated a prototype complementary metal oxide semiconductor (CMOS) image sensor with quasi pixel-wise exposure timing that can realize nonuniform space-time sampling. The prototype sensor can reset exposures independently by columns and fix these amount of exposure by rows for each 8×8 pixel block. This CMOS sensor is not fully controllable via the pixels, and has line-dependent controls, but it offers flexibility when compared with regular CMOS or charge-coupled device sensors with global or rolling shutters. We propose a method to realize pseudo-random sampling for high-speed video acquisition that uses the flexibility of the CMOS sensor. We reconstruct the high-speed video sequence from the images produced by pseudo-random sampling using an over-complete dictionary. The proposed method also removes the rolling shutter effect from the reconstructed video.
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U2 - 10.1109/ICCPHOT.2016.7492875
DO - 10.1109/ICCPHOT.2016.7492875
M3 - Conference contribution
AN - SCOPUS:84979705713
T3 - 2016 IEEE International Conference on Computational Photography, ICCP 2016 - Proceedings
BT - 2016 IEEE International Conference on Computational Photography, ICCP 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Computational Photography, ICCP 2016
Y2 - 13 May 2016 through 15 May 2016
ER -