Analog image processing with nonlinear nonlocal flat optics

Anno: 2024

Autori: De Ceglia D., Alsch A., Neshev DN., De Angelis C.

Affiliazione autori: Univ Brescia, CNIT, Via Branze 38, I-25123 Brescia, Italy; Univ Brescia, Dept Informat Engn, Via Branze 38, I-25123 Brescia, Italy; CNR, Ist Nazl Ott, Via Branze 45, I-25123 Brescia, Italy; City Univ New York, Adv Sci Res Ctr, Photon Initiat, New York, NY 10031 USA; City Univ New York, Grad Ctr, Phys Program, New York, NY 10016 USA; Australian Natl Univ, ARC Ctr Excellence Transformat Metaopt Syst TMOS, Res Sch Phys, Canberra, ACT 2601, Australia.

Abstract: Digital signal processing has revolutionized many fields of science and engineering, but it still shows critical limits, mainly related to the complexity, power consumption, and limited speed of analogue-to-digital converters. A long-sought solution to overcome these hurdles is optical analog computing. In this regard, flat optics has been recently unveiled as a powerful platform to perform data processing in real-time, with low power consumption and a small footprint. So far, these explorations have been mainly limited to linear optics. Arguably, significantly more impact may be garnered from pushing this operation towards nonlinear processing of the incoming signals. In this context, we demonstrate here that nonlinear phenomena combined with engineered nonlocality in flat optics devices can be leveraged to synthesize Volterra kernels able to outperform linear optical analog image processing.

Giornale/Rivista: OPTICAL MATERIALS EXPRESS

Volume: 14 (1)      Da Pagina: 92  A: 100

Maggiori informazioni: Ministero dell’Istruzione e del Merito (METEOR, PRIN-2020 2020EY2LJT_002) ; H2020 Future and Emerging Technologies (FETOPEN-2018-2020 899673, METAFAST) ; NATO (SPS G5984) .
Parole chiavi: 2nd-harmonic Generation
DOI: 10.1364/OME.507644

Citazioni: 5
dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2024-12-08
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