Shuren Zhou, Haodong Fan, Shaofeng Wen, Yiyang Wei, Haohan Chen, Yunchen Zhang, Tao Zou, Pan Gao, Dapeng Wei, Yi Yin, Changyong Lan, Chun Li, Yong Liu
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引用次数: 0
Abstract
Capturing images with high fidelity that can discern objects in scenes across diverse lighting conditions is crucial for machine vision systems. Despite great efforts that have been adopted in conventional silicon-photodiode-based image sensors to achieve a high dynamic range (HDR), their dynamic range is still limited. Inspired by the dynamic adaptability of retinal cone/rod cells, a novel dual-mechanism bionic vision sensor based on silicon-on-insulator and graphene stacks is reported. Under reverse bias, the device functions as a cone cell in photodiode mode, while under forward bias, it transitions to photoconductor mode, mimicking the behavior of a rod cell. This robust switch between photodiode and photoconductor modes mimics the complementary versatility of cone and rod cells in diverse lighting scenarios, achieving an expansive dynamic perception range of up to 170 dB. With response times of 5 ns and 4 µs in photodiode and photoconductor modes, respectively, the device fulfills the rapid response requisites of machine vision. Furthermore, imaging fusions are demonstrated by combining mean filtering based on images captured by the detector operating at different modes. This pioneering development offers a new device architecture that elevates the performance of photodetectors in image sensors for future machine vision systems.
期刊介绍:
Laser & Photonics Reviews is a reputable journal that publishes high-quality Reviews, original Research Articles, and Perspectives in the field of photonics and optics. It covers both theoretical and experimental aspects, including recent groundbreaking research, specific advancements, and innovative applications.
As evidence of its impact and recognition, Laser & Photonics Reviews boasts a remarkable 2022 Impact Factor of 11.0, according to the Journal Citation Reports from Clarivate Analytics (2023). Moreover, it holds impressive rankings in the InCites Journal Citation Reports: in 2021, it was ranked 6th out of 101 in the field of Optics, 15th out of 161 in Applied Physics, and 12th out of 69 in Condensed Matter Physics.
The journal uses the ISSN numbers 1863-8880 for print and 1863-8899 for online publications.