Dr. Chenyu Hu Profile

Dr. Chenyu Hu

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 18 March 2024 Paper

Learned spinning mask for high-speed single-pixel imaging

Linhao Li, Yichen Zhang, Chenyu Hu, Fei Wang, Guohai Situ

Proceedings Volume 13104, 131044W (2024) https://doi.org/10.1117/12.3023640

Read Abstract +

Single-pixel imaging (SPI) holds significant promise for addressing specialized imaging challenges, particularly in scenarios involving unconventional wavelength ranges and low-light conditions. Recent developments in SPI employing a spinning mask have successfully addressed the limitations of traditional modulators like the Digital Micromirror Device (DMD), particularly concerning refresh ratios and operational spectral bands. However, current spinning mask implementations, relying on random patterns or cyclic Hadamard patterns, struggle to achieve rapid and high-fidelity imaging when operating at low sampling ratios. Here we propose to use deep learning to jointly optimize the encoding and decoding scheme for spinning mask-based SPI. On the encoding side, a cyclic mask, optimized by the convolutional layer, is meticulously crafted to modulate the input object. On the decoding side, the object image is reconstructed from the modulated intensity fluctuations employing a lightweight neural network infused with the image formation model. Our method demonstrates the potential to achieve remarkable imaging results, generating 71×73-pixel images using only a 4% sampling ratio while maintaining a 2.4MHz modulation ratio, yielding image recording speeds surpassing 12KHz. The proposed method dramatically improves the imaging efficiency of SPI, thereby accelerating the practical utilization of SPI in domains such as specialized wavelength imaging and high-speed imaging.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years