Axial scanning geometric super resolved imager

Amikam Borkowski; Emanuel Marom; Zeevf Zalevsky

doi:10.1109/wio.2014.6933283

Axial scanning geometric super resolved imager

Amikam Borkowski, Emanuel Marom, Zeevf Zalevsky

Bar-Ilan University - The Alexander Kofkin Faculty of Engineering

Tel Aviv University

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

Abstract

We propose a new geometric super resolving approach that overcomes the geometric resolution reduction caused due to the spatially large pixels of the detection array while the improvement process is obtained by applying axial scanning and a phase retrieving procedure. In the scanning process, several images are captures corresponding to focus made on different axial plains. By applying iterative Gerchberg-Saxton based algorithm we manage to retrieve the spatial phase distribution of the optical wavefront and to reconstruct the originally geometrically high resolution image from the captured set of low resolution images.

Original language	English
Title of host publication	2014 13th Workshop on Information Optics, WIO 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479959730
DOIs	https://doi.org/10.1109/wio.2014.6933283
State	Published - 21 Oct 2014
Event	2014 13th Workshop on Information Optics, WIO 2014 - Neuchatel, Switzerland Duration: 7 Jul 2014 → 11 Jul 2014

Publication series

Name	2014 13th Workshop on Information Optics, WIO 2014

Conference

Conference	2014 13th Workshop on Information Optics, WIO 2014
Country/Territory	Switzerland
City	Neuchatel
Period	7/07/14 → 11/07/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

Phase retrieval
Superresolution

Access to Document

10.1109/wio.2014.6933283

Cite this

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title = "Axial scanning geometric super resolved imager",

abstract = "We propose a new geometric super resolving approach that overcomes the geometric resolution reduction caused due to the spatially large pixels of the detection array while the improvement process is obtained by applying axial scanning and a phase retrieving procedure. In the scanning process, several images are captures corresponding to focus made on different axial plains. By applying iterative Gerchberg-Saxton based algorithm we manage to retrieve the spatial phase distribution of the optical wavefront and to reconstruct the originally geometrically high resolution image from the captured set of low resolution images.",

keywords = "Phase retrieval, Superresolution",

author = "Amikam Borkowski and Emanuel Marom and Zeevf Zalevsky",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 13th Workshop on Information Optics, WIO 2014 ; Conference date: 07-07-2014 Through 11-07-2014",

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doi = "10.1109/wio.2014.6933283",

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Borkowski, A, Marom, E & Zalevsky, Z 2014, Axial scanning geometric super resolved imager. in 2014 13th Workshop on Information Optics, WIO 2014., 6933283, 2014 13th Workshop on Information Optics, WIO 2014, Institute of Electrical and Electronics Engineers Inc., 2014 13th Workshop on Information Optics, WIO 2014, Neuchatel, Switzerland, 7/07/14. https://doi.org/10.1109/wio.2014.6933283

Axial scanning geometric super resolved imager. / Borkowski, Amikam; Marom, Emanuel; Zalevsky, Zeevf.
2014 13th Workshop on Information Optics, WIO 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 6933283 (2014 13th Workshop on Information Optics, WIO 2014).

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

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Axial scanning geometric super resolved imager

Abstract

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Bibliographical note

Keywords

Access to Document

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