TY - GEN
T1 - Folding Boundary Reduction in Self-Reset Image Sensor by Double Readout Technique
AU - Sasagawa, Kiyotaka
AU - Thanet, Pakpuwadon
AU - Haruta, Makito
AU - Takehara, Hironari
AU - Tashiro, Hiroyuki
AU - Ohta, Jun
N1 - Funding Information:
This work was partially supported by the Japan Society for the Promotion of Foundation.
Funding Information:
ACKNOWLEDGMENTS The CMOS chip design for this research was supported by the VLSI Design and Education Center (VDEC), the University of Tokyo, Japan in collaboration with o, in collaboration with Cadence Design Systems and Mentor Graphics Corporation..
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this study, we propose a method to reduce the artifacts of the folding boundary of self-resetting image sensor by the double readout technique. Image reconstruction with folding boundary reduction was performed from two images of the same frame with slightly different exposure times.
AB - In this study, we propose a method to reduce the artifacts of the folding boundary of self-resetting image sensor by the double readout technique. Image reconstruction with folding boundary reduction was performed from two images of the same frame with slightly different exposure times.
UR - http://www.scopus.com/inward/record.url?scp=85145569528&partnerID=8YFLogxK
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U2 - 10.1109/IPC53466.2022.9975462
DO - 10.1109/IPC53466.2022.9975462
M3 - Conference contribution
AN - SCOPUS:85145569528
T3 - 2022 IEEE Photonics Conference, IPC 2022 - Proceedings
BT - 2022 IEEE Photonics Conference, IPC 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Photonics Conference, IPC 2022
Y2 - 13 November 2022 through 17 November 2022
ER -