Presentation
4 October 2024 Diffractive processors enable all-optical image denoising
Author Affiliations +
Abstract
We present an all-optical image denoiser based on spatially-engineered diffractive layers. Following a one-time training process using a computer, this analog processor composed of fabricated passive layers achieves real-time image denoising by processing input images at the speed of light and synthesizing the denoised results within its output field-of-view, completely bypassing digital processing. Remarkably, these designs achieve high output diffraction efficiencies of up to 40%, while maintaining excellent denoising performance. The effectiveness of this diffractive image denoiser was experimentally validated at the terahertz spectrum, successfully removing salt-only noise from intensity images using a 3D-fabricated denoiser that axially spans <250 wavelengths.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cagatay Isil, Tianyi Gan, Fazil Onuralp Ardic, Koray Mentesoglu, Jagrit Digani, Huseyin Karaca, Hanlong Chen, Jingxi Li, Deniz Mengu, Mona Jarrahi, Kaan Aksit, and Aydogan Ozcan "Diffractive processors enable all-optical image denoising", Proc. SPIE PC13118, Emerging Topics in Artificial Intelligence (ETAI) 2024, PC131180T (4 October 2024); https://doi.org/10.1117/12.3027789
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KEYWORDS
Image processing

Image denoising

Digital image processing

Digital Light Processing

Analog electronics

Denoising

Light sources and illumination

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