Paper Abstract and Keywords |
Presentation |
2023-03-27 13:00
1.22μm 35.6Mpixel RGB Hybrid Event-Based Vision Sensor with 4.88μm-Pitch Event Pixels and up to 10K Event Frame Rate by Adaptive Control on Event Sparsity Yusuke Sato, Kazutoshi Kodama, Yuhi Yorikado (SSS), Raphael Berner (AVS), Kyoji Mizoguchi, Takahiro Miyazaki, Masahiro Tsukamoto, Yoshihisa Matoba, Hirotaka Shinozaki, Atsumi Niwa, Tetsuji Yamaguchi (SSS), Christian Brandli (AVS), Hayato Wakabaayashi, Yusuke Oike (SSS) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper presents a 1.22μm-pixel 35.6M-pixel RGB hybrid event-based vision sensor. To enhance RGB quality with high-speed event output, both RGB and event pixels are implemented on the same focal plane. The sensor successfully demonstrates high quality RGB output with random noise of 1.57e- and high-speed event output up to 10Kfps using adaptive frame rate control based on the event sparsity. Experimental results show image quality enhancement deblurred through AI processing. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Hybrid EVS / Circuit technology / Image quality enhancement / / / / / |
Reference Info. |
ITE Tech. Rep., vol. 47, no. 14, IST2023-6, pp. 1-4, March 2023. |
Paper # |
IST2023-6 |
Date of Issue |
2023-03-20 (IST) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
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