咨询与建议

看过本文的还看了

相关文献

该作者的其他文献

文献详情 >Speckle spatial correlations a... 收藏

Speckle spatial correlations aiding optical transmission matrix retrieval:the smoothed Gerchberg–Saxton single-iteration algorithm

Speckle spatial correlations aiding optical transmission matrix retrieval: the smoothed Gerchberg–Saxton single-iteration algorithm

作     者:DANIELE ANCORA LORENZO DOMINICI ANTONIO GIANFRATE PAOLO CAZZATO MILENA DE GIORGI DARIO BALLARINI DANIELE SANVITTO LUCA LEUZZI DANIELE ANCORA;LORENZO DOMINICI;ANTONIO GIANFRATE;PAOLO CAZZATO;MILENA DE GIORGI;DARIO BALLARINI;DANIELE SANVITTO;LUCA LEUZZI

作者机构:Department of PhysicsUniversitàdi Roma la SapienzaPiazzale Aldo Moro 5I-00185 RomeItaly Institute of NanotechnologyConsiglio Nazionale delle Ricerche(CNR-NANOTEC)Via MonteroniI-73100 LecceItaly Institute of NanotechnologySoft and Living Matter LaboratoryConsiglio Nazionale delle Ricerche(CNR-NANOTEC)Piazzale Aldo Moro 5I-00185 RomeItaly 

出 版 物:《Photonics Research》 (光子学研究(英文版))

年 卷 期:2022年第10卷第10期

页      面:2349-2358页

核心收录:

学科分类:070207[理学-光学] 07[理学] 0702[理学-物理学] 

基  金:Lazio Innova (A0375-2020-36761) European Research Council (694925). 

主  题:optical matrix algorithm 

摘      要:The estimation of the transmission matrix of a disordered medium is a challenging problem in disordered photonics.Usually,its reconstruction relies on a complex inversion that aims at connecting a fully controlled input to the deterministic interference of the light field scrambled by the device.At the moment,iterative phase retrieval protocols provide the fastest reconstructing frameworks,converging in a few tens of iterations.Exploiting the knowledge of speckle correlations,we construct a new phase retrieval algorithm that reduces the computational cost to a single iteration.Besides being faster,our method is practical because it accepts fewer measurements than state-of-the-art protocols.Thanks to reducing computation time by one order of magnitude,our result can be a step forward toward real-time optical imaging that exploits disordered devices.

读者评论 与其他读者分享你的观点

用户名:未登录
我的评分