Computational lensless imaging utilizing aggressive design of coded optical systems

Nakamura, Tomoya

doi:https://doi.org/10.1117/12.3063736

Computational lensless imaging utilizing aggressive design of coded optical systems

Nakamura, Tomoya

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

アクセス数:20件（2026-02-05 19:02 集計）

固定URL: https://hdl.handle.net/11094/103620

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タイトル	Computational lensless imaging utilizing aggressive design of coded optical systems
著者	NRID 1000070756709 1000070756709 ORCID 0000-0001-8915-3043 0000-0001-8915-3043 researchmap permalink tnakamura1104 tnakamura1104 Scopus Author ID 55512501400 55512501400 著者名 Nakamura, Tomoya
キーワード等	Coded optical system
	Computational imaging
	Lensless imaging
内容	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.
抄録	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.
会議情報	会議名 Optical Engineering + Applications 開催期間 3-8 August 2025 開催地 San Diego, California 開催国アメリカ合衆国
出版者	SPIE
収録物名	Proceedings of SPIE - The International Society for Optical Engineering
巻(号)	13610
ページ	1361004
刊行年月	2025-09-17
言語	英語
ハンドルURL	https://hdl.handle.net/11094/103620
PISSN	0277786X
eISSN	1996756X
関連情報 (isIdenticalTo)	DOI (出版社版) https://doi.org/10.1117/12.3063736
アクセス権	open access
権利情報	© 2025 SPIE.
出版タイプ	Version of Record
カテゴリ	会議発表論文 Conference Paper

資源タイプ	会議発表論文
ローカル資源タイプ	会議発表論文
DCMI資源タイプ	text
DCTERMS.bibliographicCitation	Proceedings of SPIE - The International Society for Optical Engineering. 2025, 13610, p. 1361004
DC.title	Computational lensless imaging utilizing aggressive design of coded optical systems
DC.creator	Nakamura, Tomoya
DC.publisher	SPIE
DC.language' scheme='DCTERMS.RFC1766	英語
DC.type' scheme='DCTERMS.DCMIType	text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2025-09-17
DC.identifier	https://doi.org/10.1117/12.3063736
DC.subject	Coded optical system
	Computational imaging
	Lensless imaging
DC.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.
DCTERMS.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.
DC.rights	© 2025 SPIE.
DC.format	103620
citation_title	Computational lensless imaging utilizing aggressive design of coded optical systems
citation_author	Nakamura, Tomoya
citation_publisher	SPIE
citation_language	英語
citation_date	2025-09-17
citation_journal_title	Proceedings of SPIE - The International Society for Optical Engineering
citation_volume	13610
citation_firstpage	1361004
citation_doi	https://doi.org/10.1117/12.3063736
citation_public_url	https://hdl.handle.net/11094/103620

Computational lensless imaging utilizing aggressive design of coded optical systems

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