Phase-coded computational imaging for depth of field extension

Erdem Sahin; Ugur Akpinar; Atanas Gotchev

doi:10.1364/DH.2019.W2A.1

Phase-coded computational imaging for depth of field extension

Erdem Sahin^*
, Ugur Akpinar
, Atanas Gotchev

^*Corresponding author for this work

Computing Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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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.

Original language	English
Title of host publication	Proceedings - Digital Holography and Three-Dimensional Imaging 2019
Publisher	Optical Society of America
ISBN (Electronic)	9781943580590
DOIs	https://doi.org/10.1364/DH.2019.W2A.1
Publication status	Published - 13 May 2019
Publication type	A4 Article in conference proceedings
Event	Conference on Digital Holography and Three-Dimensional Imaging - Bordeaux, France Duration: 19 May 2019 → 23 May 2019

Conference

Conference	Conference on Digital Holography and Three-Dimensional Imaging
Country/Territory	France
City	Bordeaux
Period	19/05/19 → 23/05/19

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

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10.1364/DH.2019.W2A.1

Phase-coded computational imaging 2019
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http://urn.fi/URN:NBN:fi:tuni-202102252257

Cite this

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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",

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AU - Gotchev, Atanas

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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.

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DO - 10.1364/DH.2019.W2A.1

M3 - Conference contribution

AN - SCOPUS:85086015554

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

PB - Optical Society of America

T2 - Conference on Digital Holography and Three-Dimensional Imaging

Y2 - 19 May 2019 through 23 May 2019

ER -

Phase-coded computational imaging for depth of field extension

Abstract

Conference

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ASJC Scopus subject areas

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Cite this