Zobraziť v EDS

Concurrent Image Differentiation and Integration Processings Enabled By Polarization‐Multiplexed Metasurface.

Uložené v:
Podrobná bibliografia
Názov: Concurrent Image Differentiation and Integration Processings Enabled By Polarization‐Multiplexed Metasurface.
Autori: Bi, Xinyi, Wu, Xuanguang, Fan, Xinhao, Zhao, Chenyang, Wen, Dandan, Liu, Sheng, Gan, Xuetao, Zhao, Jianlin, Li, Peng
Zdroj: Laser & Photonics Reviews; 2/19/2025, Vol. 19 Issue 4, p1-8, 8p
Predmety: OPTICAL computing, IMAGE processing, IMAGING systems in biology, DIFFERENTIATION (Mathematics), METAMATERIALS, PARALLEL processing, COMPUTER vision, INTEGRALS
Abstrakt: Optical computing and image processing performed by sensor front‐end metasurfaces is receiving increasing interest because of advantages such as significant reduction of latency time, energy consumption, and system complexity. Despite the rapid progress, concurrent processing, the most important feature of electronic computing, has not yet been well implemented in optical computing. Here, a metasurface‐based optical image processor that can perform optical differentiation and integration tasks simultaneously is proposed. This optical front‐end processor integrates two coherent transfer functions corresponding to differential and integral convolution kernels into a built‐in metasurface by polarization encoding, allowing concurrent processing of multiple all‐optical computational tasks. The simultaneous differentiation and integration operations on images for edge enhancement and denoising are demonstrated at multiple visible wavelengths. This concurrent processing architecture paves a promising pathway toward multifunctional and higher‐speed image processing for machine vision and biomedical imaging and shows the potential to expedite and potentially supplant certain digital neural network algorithms. [ABSTRACT FROM AUTHOR]
Copyright of Laser & Photonics Reviews is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáza: Complementary Index
Popis
Abstrakt:Optical computing and image processing performed by sensor front‐end metasurfaces is receiving increasing interest because of advantages such as significant reduction of latency time, energy consumption, and system complexity. Despite the rapid progress, concurrent processing, the most important feature of electronic computing, has not yet been well implemented in optical computing. Here, a metasurface‐based optical image processor that can perform optical differentiation and integration tasks simultaneously is proposed. This optical front‐end processor integrates two coherent transfer functions corresponding to differential and integral convolution kernels into a built‐in metasurface by polarization encoding, allowing concurrent processing of multiple all‐optical computational tasks. The simultaneous differentiation and integration operations on images for edge enhancement and denoising are demonstrated at multiple visible wavelengths. This concurrent processing architecture paves a promising pathway toward multifunctional and higher‐speed image processing for machine vision and biomedical imaging and shows the potential to expedite and potentially supplant certain digital neural network algorithms. [ABSTRACT FROM AUTHOR]
ISSN:18638880
DOI:10.1002/lpor.202400718