Literature DB >> 35167560

Realization of tunable edge-enhanced images based on computing metasurfaces.

Titao Xiao, Hua Yang, Qiang Yang, Dingyu Xu, Ruisi Wang, Shizhen Chen, Hailu Luo.   

Abstract

Bright-field imaging and edge imaging can extract different characteristics from objects, and therefore play important roles in image processing and pattern recognition. Here, we propose a fast, convenient, and electrically driven adjustable scheme to achieve tunable edge-enhanced images based on computing metasurfaces. The computing metasurface can perform spatial differential operation as optical waves propagate through it. This optical differential operation is polarization-dependent, thus any desirable contrast can be realized by the interplay between two orthogonal polarization components. By regulating the external voltages applied on the liquid-crystal phase plate, different phase retardances between two orthogonal polarization components are introduced; this allows us to quickly switch between the bright-field image and the edge image.

Entities:  

Year:  2022        PMID: 35167560     DOI: 10.1364/OL.450988

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  1 in total

1.  Electric-Driven Polarization Meta-Optics for Tunable Edge-Enhanced Images.

Authors:  Cheng Cheng; Kai Ou; Hui Yang; Hengyi Wan; Zeyong Wei; Zhanshan Wang; Xinbin Cheng
Journal:  Micromachines (Basel)       Date:  2022-03-30       Impact factor: 3.523

  1 in total

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