English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Imaging techniques based on single-pixel detection, such as ghost imaging,can reconstruct or recognize a target scene from multiple measurements using asequence of random mask patterns. However, the processing speed is limited bythe low rate of the pattern generation. In this study, we propose an ultrafastmethod for random speckle pattern generation, which has the potential toovercome the limited processing speed. The proposed approach is based onmultimode fiber speckles induced by fast optical phase modulation. Weexperimentally demonstrate dynamic speckle projection with phase modulation at10 GHz rates, which is five to six orders of magnitude higher than conventionalmodulation approaches using spatial light modulators. Moreover, we combine theproposed generation approach with a wavelength-division multiplexing techniqueand apply it for image classification. As a proof-of-concept demonstration, weshow that 28x28-pixel images of digits acquired at GHz rates can be accuratelyclassified using a simple neural network. The proposed approach opens a novelpathway for an all-optical image processor.

Gigahertz-rate random speckle projection for high-speed single-pixel image classification