Super-resolving optical systems based on compressive sensing

Adrian Stern; August Yitzhak; Vladimir Farber; Ran Yehuda

doi:https://doi.org/10.1109/WIO.2014.6933291

Super-resolving optical systems based on compressive sensing

Adrian Stern, August Yitzhak, Vladimir Farber, Ran Yehuda

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

Abstract

The theory of compressive sensing and sparse representations broke the traditional linkage between the resolution of the optical signals and the bandwidth of the acquisition process. As such, it opened the path to new optical super-resolving systems; that is, methods and systems that are able to capture optical signals with resolution beyond the classical limits. In this paper we overview some compressive sensing optical super-resolution systems that we have developed, including three compressive imaging system that produce super-resolution images, super-resolution tomography reconstruction, and super-resolution spectral sensing.

Original language	American English
Title of host publication	2014 13th Workshop on Information Optics, WIO 2014
ISBN (Electronic)	9781479959730
DOIs	https://doi.org/10.1109/WIO.2014.6933291
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

Keywords

compressed sensing
compressive imaging
compressive sensing
computational imaging
computational spectroscopy

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Information Systems
Atomic and Molecular Physics, and Optics

Access to Document

https://doi.org/10.1109/WIO.2014.6933291

Cite this

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title = "Super-resolving optical systems based on compressive sensing",

abstract = "The theory of compressive sensing and sparse representations broke the traditional linkage between the resolution of the optical signals and the bandwidth of the acquisition process. As such, it opened the path to new optical super-resolving systems; that is, methods and systems that are able to capture optical signals with resolution beyond the classical limits. In this paper we overview some compressive sensing optical super-resolution systems that we have developed, including three compressive imaging system that produce super-resolution images, super-resolution tomography reconstruction, and super-resolution spectral sensing.",

keywords = "compressed sensing, compressive imaging, compressive sensing, computational imaging, computational spectroscopy",

author = "Adrian Stern and August Yitzhak and Vladimir Farber and Ran Yehuda",

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year = "2014",

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AU - Yitzhak, August

AU - Farber, Vladimir

AU - Yehuda, Ran

PY - 2014/10/21

Y1 - 2014/10/21

N2 - The theory of compressive sensing and sparse representations broke the traditional linkage between the resolution of the optical signals and the bandwidth of the acquisition process. As such, it opened the path to new optical super-resolving systems; that is, methods and systems that are able to capture optical signals with resolution beyond the classical limits. In this paper we overview some compressive sensing optical super-resolution systems that we have developed, including three compressive imaging system that produce super-resolution images, super-resolution tomography reconstruction, and super-resolution spectral sensing.

AB - The theory of compressive sensing and sparse representations broke the traditional linkage between the resolution of the optical signals and the bandwidth of the acquisition process. As such, it opened the path to new optical super-resolving systems; that is, methods and systems that are able to capture optical signals with resolution beyond the classical limits. In this paper we overview some compressive sensing optical super-resolution systems that we have developed, including three compressive imaging system that produce super-resolution images, super-resolution tomography reconstruction, and super-resolution spectral sensing.

KW - compressed sensing

KW - compressive imaging

KW - compressive sensing

KW - computational imaging

KW - computational spectroscopy

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DO - https://doi.org/10.1109/WIO.2014.6933291

M3 - Conference contribution

T3 - 2014 13th Workshop on Information Optics, WIO 2014

BT - 2014 13th Workshop on Information Optics, WIO 2014

T2 - 2014 13th Workshop on Information Optics, WIO 2014

Y2 - 7 July 2014 through 11 July 2014

ER -

Super-resolving optical systems based on compressive sensing

Abstract

Publication series

Conference

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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