Enhanced single-beam multiple-intensity reconstruction via unequal interval measurement and weighted feedback

Cheng Xu; Axiu Cao; Hui Pang; Qiling Deng; Song Hu; Huajun Yang

doi:10.1117/12.3007823

18 December 2023 Enhanced single-beam multiple-intensity reconstruction via unequal interval measurement and weighted feedback

Cheng Xu, Axiu Cao, Hui Pang, Qiling Deng, Song Hu, Huajun Yang

Author Affiliations +

Proceedings Volume 12967, AOPC 2023: Computing Imaging Technology; 129670B (2023) https://doi.org/10.1117/12.3007823
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China

Abstract

Multi-distance phase retrieval represents a computational imaging technique that synergizes a basic imaging setup with computational post-processing. This method involves capturing diffraction intensity at distinct distances, enabling the iterative reconstruction of the target's wavefront by incorporating the intensity patterns into the relevant algorithm. Despite the advantages of lensless imaging through multi-distance phase retrieval, including its uncomplicated setup, expansive field of view, and freedom from aberrations, challenges persist in terms of sluggish convergence and limited resolution. To address these concerns, the presented paper introduces enhancements to both the imaging system and the algorithm. This dual approach contributes to a remarkable 5.88 times acceleration in convergence speed, all achieved without the need for supplementary equipment. Moreover, a substantial enhancement in imaging quality is achieved when compared to the conventional method.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Cheng Xu, Axiu Cao, Hui Pang, Qiling Deng, Song Hu, and Huajun Yang "Enhanced single-beam multiple-intensity reconstruction via unequal interval measurement and weighted feedback", Proc. SPIE 12967, AOPC 2023: Computing Imaging Technology, 129670B (18 December 2023); https://doi.org/10.1117/12.3007823

ACCESS THE FULL ARTICLE

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