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Phase-coded computational imaging for depth of field extension

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Phase-coded computational imaging for depth of field extension. / Sahin, Erdem; Akpinar, Ugur; Gotchev, Atanas.

Proceedings - Digital Holography and Three-Dimensional Imaging 2019. Optical Society of America, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Sahin, E, Akpinar, U & Gotchev, A 2019, Phase-coded computational imaging for depth of field extension. in Proceedings - Digital Holography and Three-Dimensional Imaging 2019. Optical Society of America, Conference on Digital Holography and Three-Dimensional Imaging, Bordeaux, France, 19/05/19.

APA

Sahin, E., Akpinar, U., & Gotchev, A. (2019). Phase-coded computational imaging for depth of field extension. In Proceedings - Digital Holography and Three-Dimensional Imaging 2019 Optical Society of America.

Vancouver

Sahin E, Akpinar U, Gotchev A. Phase-coded computational imaging for depth of field extension. In Proceedings - Digital Holography and Three-Dimensional Imaging 2019. Optical Society of America. 2019

Author

Sahin, Erdem ; Akpinar, Ugur ; Gotchev, Atanas. / Phase-coded computational imaging for depth of field extension. Proceedings - Digital Holography and Three-Dimensional Imaging 2019. Optical Society of America, 2019.

Bibtex - Download

@inproceedings{31078bd02dff40b69af6123fa71b4dc4,
title = "Phase-coded computational imaging for depth of field extension",
abstract = "We present a computational imaging approach, combining a phase-coded computational camera with a corresponding CNN-based deblurring network, that enables extended depth of field images. The simulations demonstrate promising results achieving significant depth of field extension.",
author = "Erdem Sahin and Ugur Akpinar and Atanas Gotchev",
year = "2019",
month = "5",
day = "13",
language = "English",
booktitle = "Proceedings - Digital Holography and Three-Dimensional Imaging 2019",
publisher = "Optical Society of America",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Phase-coded computational imaging for depth of field extension

AU - Sahin, Erdem

AU - Akpinar, Ugur

AU - Gotchev, Atanas

PY - 2019/5/13

Y1 - 2019/5/13

N2 - We present a computational imaging approach, combining a phase-coded computational camera with a corresponding CNN-based deblurring network, that enables extended depth of field images. The simulations demonstrate promising results achieving significant depth of field extension.

AB - We present a computational imaging approach, combining a phase-coded computational camera with a corresponding CNN-based deblurring network, that enables extended depth of field images. The simulations demonstrate promising results achieving significant depth of field extension.

M3 - Conference contribution

BT - Proceedings - Digital Holography and Three-Dimensional Imaging 2019

PB - Optical Society of America

ER -