Gigahertz-rate random speckle projection for high-speed single-pixel image classification
arXiv:2206.05433 · doi:10.1364/OE.460681
Abstract
Imaging techniques based on single-pixel detection, such as ghost imaging, can reconstruct or recognize a target scene from multiple measurements using a sequence of random mask patterns. However, the processing speed is limited by the low rate of the pattern generation. In this study, we propose an ultrafast method for random speckle pattern generation, which has the potential to overcome the limited processing speed. The proposed approach is based on multimode fiber speckles induced by fast optical phase modulation. We experimentally demonstrate dynamic speckle projection with phase modulation at 10 GHz rates, which is five to six orders of magnitude higher than conventional modulation approaches using spatial light modulators. Moreover, we combine the proposed generation approach with a wavelength-division multiplexing technique and apply it for image classification. As a proof-of-concept demonstration, we show that 28x28-pixel images of digits acquired at GHz rates can be accurately classified using a simple neural network. The proposed approach opens a novel pathway for an all-optical image processor.
7 pages, 7 figures
References in corpus (9)
- Ghost imaging with a single detector
- On-Chip Random Spectrometer
- Multimode optical fiber based spectrometers
- High performance photonic reservoir computer based on a coherently driven passive cavity
- Lensless ghost imaging with true thermal light
- Optical machine learning with incoherent light and a single-pixel detector
- Image-free real-time classification of fast moving objects using 'learned' spatial light modulation and a single-pixel detector
- Single-shot thermal ghost imaging using wavelength-division multiplexing
- Robust and Efficient Single-Pixel Image Classificationwith Nonlinear Optics