Computational lensless imaging utilizing aggressive design of coded optical systems

Nakamura, Tomoya

Proceedings of SPIE - The International Society for Optical Engineering, 2025, 13610, 1361004

Number of Access:20（2026-02-05 22:23 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/103620

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Title
Computational lensless imaging utilizing aggressive design of coded optical systems
Creator
NRID
1000070756709 1000070756709
ORCID
0000-0001-8915-3043 0000-0001-8915-3043
researchmap permalink
tnakamura1104 tnakamura1104
Scopus Author ID
55512501400 55512501400
CreatorName
Nakamura, Tomoya
Subject
Coded optical system
Computational imaging
Lensless imaging
Description
Nakamura T. Computational lensless imaging utilizing aggressive design of coded optical systems. Proceedings of SPIE - The International Society for Optical Engineering 13610, 1361004 (2025); https://doi.org/10.1117/12.3063736.
Abstract
Computational lensless imaging reconstructs images from coded measurements without using lenses and offers advantages such as compactness, low cost, and lightweight implementation. While much of the existing research has focused on algorithmic reconstruction, optical design plays a crucial role in determining the quality and robustness of the reconstructed images. In this work, I introduce two optical coding strategies that extend the capabilities of lensless imaging systems beyond conventional designs. The first approach achieves extended depth-of-field (EDOF) imaging by designing a coded mask that generates a radially invariant point spread function (PSF), enabling simultaneous reconstruction of near and far objects. The second approach introduces a multilayer mask architecture that utilizes the degrees of freedom along the optical axis to jointly optimize diffraction and angular resolution. We validate both methods through simulations and optical experiments, demonstrating improved reconstruction quality and reduced condition numbers. These results show that aggressive optical design can significantly enhance lensless imaging performance, while also introducing new challenges such as increased computational cost and loss of shift-invariance. Our findings suggest promising directions for future lensless camera development that balances optical complexity with computational efficiency.
Conference Information
Conference Name
Optical Engineering + Applications
Conference Date
3-8 August 2025
Conference Place
San Diego, California
Conference Country
United States of America
Publisher
SPIE
Source Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume (Issue)
13610
Page
1361004
Date of Issued
2025-09-17
Language
English
Handle URL
https://hdl.handle.net/11094/103620
PISSN
0277786X
eISSN
1996756X
Relation.isIdenticalTo
DOI (Publisher Version)
https://doi.org/10.1117/12.3063736
Access Rights
open access
CopyRight
© 2025 SPIE.
oaire:version
Version of Record
Category
会議発表論文 Conference Paper