Laser & Optoelectronics Progress, Volume. 62, Issue 7, 0722005(2025)
Efficient Metasurface Design Method Based on Super-Resolution Reconstruction Technology
Fig. 4. Comparisons and proportion statistics of the results by different algorithms. (a) Original phase distribution; (b) output phase distribution obtained by SR-GAN algorithm; (c) output phase distribution obtained by interpolation algorithm; (d) proportions of errors for SR-GAN and interpolation algorithms; (e) visual analysis of error for SR-GAN algorithm; (f) visual analysis of error for interpolation algorithm
Fig. 5. Comparisons and proportion statistics of complex phase distribution by different algorithms. (a) Real data; (b) phase distribution obtained by SR-GAN algorithm; (c) phase distribution obtained by interpolation algorithm; (d)‒(f) errors of three groups data by SR-GAN and interpolation algorithms
Fig. 6. Variation in MSE values for two kinds of arrays with iterations. (a) 60 pixel × 60 pixel array; (b) 120 pixel × 120 pixel array
Fig. 7. Energy distributions of the metalens in the x-z plane based on different data. (a) Based on real simulation large array; (b) based on SR-GAN large array
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Kaiwei Zhang, Hongyun Gao, Haifei Lü, Yuanjia Xia, Guobing Chen. Efficient Metasurface Design Method Based on Super-Resolution Reconstruction Technology[J]. Laser & Optoelectronics Progress, 2025, 62(7): 0722005
Category: Optical Design and Fabrication
Received: Nov. 5, 2024
Accepted: Dec. 25, 2024
Published Online: Mar. 20, 2025
The Author Email: Hongyun Gao (ccyun@126.com)
CSTR:32186.14.LOP242223