Design of a Hybrid Column Segmented CMOS Image Sensor with an Artificial Intelligence Core and a Novel SRAM Readout Logic
- Authors
- Park, Keunyeol; Lee, Cheeyoung; Kim, Soo Youn; Song, Minkyu
- Issue Date
- May-2019
- Publisher
- IEEE
- Keywords
- hybrid column segmented; CMOS image sensor; artificial intelligence core; SRAM readout logic
- Citation
- 2019 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), pp 21 - 22
- Pages
- 2
- Indexed
- SCOPUS
- Journal Title
- 2019 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC)
- Start Page
- 21
- End Page
- 22
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/8655
- DOI
- 10.23919/elinfocom.2019.8706338
- Abstract
- In this paper, a hybrid column segmented CMOS image sensor (CIS) with an artificial intelligence (AI) core and a novel SRAM readout circuit is presented. To obtain a high performance and high speed column parallel CIS, each column is segmented into two parts: the first one is a DC reference voltage generator with a bandgap reference circuit, and the second one is a fine ramp generator with an AI core and a digital-to-analog converter (DAC). Further, a novel SRAM readout circuit to improve the speed of digital block is also discussed. Based on this hybrid column segmented technique, excellent measured results are reported. With a 90nm backside illumination (BSI) technology, a 12-bit resolution image quality and 407uW power consumption per column are satisfied.
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Collections - College of Advanced Convergence Engineering > Division of System Semiconductor > 1. Journal Articles

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