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Bio-Inspired Artificial Vision and Neuromorphic Image Processing Devices

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Title
Bio-Inspired Artificial Vision and Neuromorphic Image Processing Devices
Author(s)
Min Sung Kim; Kim, Min Seok; Lee, Gil Ju; Sung-Hyuk Sunwoo; Chang, Sehui; Song, Young Min; Dae-Hyeong Kim
Publication Date
2022-02
Journal
Advanced Materials Technologies, v.7, no.2
Publisher
John Wiley and Sons Inc
Abstract
© 2021 Wiley-VCH GmbHRemarkable technological developments for efficient image recognition (i.e., image acquisition and image data processing) have been reported in the past decade. Such advances in imaging and image processing technologies have driven significant progress in mobile electronics and machine vision applications. In particular, for image acquisition devices, two types of natural eyes (i.e., chambered and compound eyes) have inspired the development of novel multifunctional imaging devices with unique optical geometries. For image data processing devices, novel computing devices based on memristor crossbar arrays, such as electronic synapses, have been developed. More recently, the integration of imaging and image processing devices in a single unit further enhances the system-level efficiency. Herein, such recent advances in the bio-inspired artificial vision and neuromorphic image processing devices, aimed at providing efficient image recognition, are reviewed. First, various imaging devices inspired by the structural and functional features of natural eyes are introduced. Second, artificial synapses and their operation principles are thoroughly discussed. Third, the neuromorphic vision sensor that integrates the imaging and image processing devices is reviewed. Finally, a brief summary and future outlook are presented.
URI
https://pr.ibs.re.kr/handle/8788114/11385
DOI
10.1002/admt.202100144
ISSN
2365-709X
Appears in Collections:
Center for Nanoparticle Research(나노입자 연구단) > 1. Journal Papers (저널논문)
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