Fast selective edge-enhanced imaging with topological chiral lamellar superstructures

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外文摘要：Edge detection is a fundamental operation for feature extraction in image processing.The all-optical method has aroused growing interest owing to its ultra-fast speed,low energy consumption and parallel computation.However,current optical edge detection methods are generally limited to static devices and fixed functionality.Herein,we propose a fast-switchable scheme based on a ferroelectric liquid crystal topological structure.The self-assembled chiral lamellar superstructure,directed by the azimuthally variant photo-alignment agent,can be dynamically controlled by the polarity of the external electric field and respectively generates the vector beams with nearly orthogonal polarization distribution.Even after thousands of cycles,the horizontal and vertical edges of the object are selectively enhanced with an ultra-fast switching time of～57 μs.Broadband edge-enhanced imaging is efficiently demonstrated.This work extends the ingenious building of topological heliconical superstructures and offers an important glimpse into their potential in the emerging frontiers of optical computing for artificial intelligence.

外文关键词：

edge detectionferroelectric liquid crystaltopological structurevector beamfast response

作者：

Wen Chen、Dong Zhu、Si-Jia Liu、Yi-Heng Zhang、Lin Zhu、Chao-Yi Li、Shi-Jun Ge、Peng Chen、Wan-Long Zhang、Xiao-Cong Yuan、Yan-Qing Lu

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作者单位：

National Laboratory of Solid State Microstructures,Key Laboratory of Intelligent Optical Sensing and Manipulation,College of Engineering and Applied Sciences,and Collaborative Innovation Center of Advanced Microstructures,Nanjing University,Nanjing 210093,China

Nanophotonics Research Center,Institute of Microscale Optoelectronics,Shenzhen University,Shenzhen 518060,China

出版年：

2024

DOI：

10.1093/nsr/nwae247

国家科学评论(英文版)

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ISSN：

年,卷(期)：2024.11(11)