Title | ||
---|---|---|
5.5 A 2.1e<sup>−</sup> Temporal Noise and −105dB Parasitic Light Sensitivity Backside-Illuminated 2.3µm-Pixel Voltage-Domain Global Shutter CMOS Image Sensor Using High-Capacity DRAM Capacitor Technology |
Abstract | ||
---|---|---|
As the automotive and AI industries are expanding rapidly, global-shutter (GS) image sensors are playing a more significant role in the perception system. More specifically, GS image sensors are required in various fields involving IR, including the face-ID in mobile devices, the driver monitoring system in automotive applications, and factory automation. GS image sensors are necessary for these applications because they can capture freeze-frame images without motion distortion due to their advantage in the pixel operation method. The simultaneous pixel exposure and in-pixel storing capability allow GS image sensors to achieve high-quality imaging, while the sequential pixel exposure and readout of rolling-shutter (RS) image sensors results in image distortion known as the jello effect. For mobile and automotive applications, a small form factor while maintaining a low parasitic light sensitivity (PLS) and low noise is crucial. In conventional backside illuminated (BSI) charge-domain GS image sensors, a light-shielding structure over the storage area must be formed in order to suppress the influence of parasitic light during the readout operation. Therefore, the introduction of such a light-shielding structure reduces the effective photodiode area, which results in a loss of full-well capacity (FWC), light sensitivity of the sensor, and pixel scalability. |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/ISSCC19947.2020.9063092 | 2020 IEEE International Solid- State Circuits Conference - (ISSCC) |
Keywords | DocType | ISSN |
photodiode area,jello effect,factory automation,driver monitoring system,AI industries,automotive industries,rolling-shutter image sensors,illuminated-pixel voltage-domain global shutter,parasitic light sensitivity backside,simultaneous pixel exposure,pixel operation method,freeze-frame images,CMOS image sensors,high-capacity DRAM capacitor technology,temporal noise,light-shielding structure,low parasitic light sensitivity,automotive applications,image distortion,sequential pixel exposure,high-quality imaging,in-pixel storing capability | Conference | 0193-6530 |
ISBN | Citations | PageRank |
978-1-7281-3206-8 | 0 | 0.34 |
References | Authors | |
2 | 28 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jaekyu Lee | 1 | 0 | 1.69 |
Seung Sik Kim | 2 | 0 | 0.34 |
In-Gyu Baek | 3 | 1 | 1.03 |
Heesung Shim | 4 | 0 | 0.34 |
J.-T. Kim | 5 | 58 | 19.52 |
Taehyoung Kim | 6 | 0 | 0.34 |
Jungchan Kyoung | 7 | 0 | 0.34 |
Dongmo Im | 8 | 0 | 0.68 |
Jinyong Choi | 9 | 0 | 0.68 |
KeunYeong Cho | 10 | 0 | 0.34 |
Daehoon Kim | 11 | 0 | 0.34 |
Haemin Lim | 12 | 0 | 0.34 |
Min-Woong Seo | 13 | 1 | 1.03 |
juyoung kim | 14 | 0 | 2.70 |
Doowon Kwon | 15 | 0 | 1.35 |
Jiyoun Song | 16 | 1 | 1.03 |
Jiyoon Kim | 17 | 0 | 0.34 |
Min-Ho Jang | 18 | 1 | 1.52 |
Joosung Moon | 19 | 0 | 0.34 |
Hyunchul Kim | 20 | 0 | 0.68 |
Chong Kwang Chang | 21 | 0 | 0.34 |
Jingyun Kim | 22 | 0 | 1.01 |
Kyoungmin Koh | 23 | 0 | 1.01 |
Hanjin Lim | 24 | 0 | 0.68 |
JungChak Ahn | 25 | 4 | 3.11 |
Hyeongsun Hong | 26 | 0 | 0.34 |
Kyupil Lee | 27 | 1 | 1.37 |
Ho-Kyu Kang | 28 | 0 | 1.35 |