Abstract: |
Flat optics has been recently unveiled as a powerful platform to perform data processing in real-time, and with small footprint [1, 2, 3, 4]. So far, these explorations have been mostly limited to linear optics, while arguably the most impactful operations stem from nonlinear processing of the incoming signals. In this context, here we demonstrate that nonlinear phenomena combined with engineered nonlocality in flat-optics devices can be leveraged to synthesize Volterra kernels able to perform complex operations on incoming images in real-time [5].
In particular, here we show that using nonlinear nonlocality in flat optics we can realize analog image processing with previously not accessible functionalities. By exploring the simple scenario of a uniform χ(2) thin sheet, we demonstrate edge detection operation with exciting potentials. In our proposed nonlinear flat-optics solution, the non-resonant nature of the nonlinear interaction involved in image processing allows edge detection over a broadband spectrum with ultra–high contrast and superior resilience to noise.
Our results indicate that Volterra kernels of nonlinear nonlocal flat optics can open new opportunities in applications such as image processing, item recognition for computer vision, and high-contrast, high-resolution microscopy.
References
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2. Overvig, A., Alù, A., Laser & Photonics Reviews 16(8), 2100633 (2022).
3. Vabishchevich, P., Kivshar, Y., Photon. Res. 11, B50-B64 (2023)
4. Schlickriede, C., Waterman, N., Reineke, B., Georgi, P., Li, G., Zhang, S., Zentgraf, T., Advanced Materials 30(8), 1703843 (2018).
5. D. de Ceglia, A. Alù, D. Neshev, C. De Angelis, Opt. Mater. Express 14, 92-100 (2024). |