Autofocusing method for Fresnel zone aperture coded image

Jiachen Wu; Fangyu Liu; Liangcai Cao

doi:10.1117/12.3009611

13 March 2024 Autofocusing method for Fresnel zone aperture coded image

Jiachen Wu, Fangyu Liu, Liangcai Cao

Proceedings Volume PC12910, Practical Holography XXXVIII: Displays, Materials, and Applications; PC1291005 (2024) https://doi.org/10.1117/12.3009611
Event: SPIE OPTO, 2024, San Francisco, California, United States

Abstract

Fresnel zone aperture (FZA) lensless imaging encode the incident light into hologram-like pattern, so that the scene image can be refocused by back propagation method. However, the inherent twin image and inaccuracy focusing distance degrade the imaging quality. This brings difficulties for the target classification and recognition applications. We proposed a high-quality reconstruction and autofocusing method for FZA lensless imaging. By investigating the image sharpness metrics on the back propagation images, the accuracy focusing distance could be estimated. Total variation regularization based alternating direction method of multipliers algorithm is proposed to suppress the twin image existing in the back propagation reconstruction. Experimental results show that the proposed method can significantly improve the target recognition rate from 4.06% to 90.00%.

Conference Presentation

Citation Download Citation

Jiachen Wu, Fangyu Liu, and Liangcai Cao "Autofocusing method for Fresnel zone aperture coded image", Proc. SPIE PC12910, Practical Holography XXXVIII: Displays, Materials, and Applications, PC1291005 (13 March 2024); https://doi.org/10.1117/12.3009611

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