Use of a priori object knowledge to achieve super-resolution in optical data storage imaging applications

Sherif S. Sherif; Peter Török

doi:10.1117/12.545885

Use of a priori object knowledge to achieve super-resolution in optical data storage imaging applications

Sherif S. Sherif^*, Peter Török

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract

We describe an aperture-coded hybrid (optical-digital) imaging system to achieve super-resolution for an a priori known class of binary objects. This super-resolution is achieved by aligning the singular functions of a paraxial imaging gathering module and the eigenfunctions of the covariance matrix of this class of binary objects. This work and particularly its potential extension to high numerical aperture vectorial imaging are of interest to optical data storage imaging applications.

Original language	English
Article number	27
Pages (from-to)	220-226
Number of pages	7
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5456
DOIs	https://doi.org/10.1117/12.545885
Publication status	Published - 2004
Externally published	Yes
Event	Photon Management - Strasbourg, France Duration: Apr 27 2004 → Apr 28 2004

ASJC Scopus Subject Areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Keywords

A priori object knowledge
Hybrid imaging systems
Optical data storage
Super-resolution

Access to Document

10.1117/12.545885

Cite this

@article{3e6b0584dfb14d50a85bc2a92920400d,

title = "Use of a priori object knowledge to achieve super-resolution in optical data storage imaging applications",

abstract = "We describe an aperture-coded hybrid (optical-digital) imaging system to achieve super-resolution for an a priori known class of binary objects. This super-resolution is achieved by aligning the singular functions of a paraxial imaging gathering module and the eigenfunctions of the covariance matrix of this class of binary objects. This work and particularly its potential extension to high numerical aperture vectorial imaging are of interest to optical data storage imaging applications.",

keywords = "A priori object knowledge, Hybrid imaging systems, Optical data storage, Super-resolution",

author = "Sherif, {Sherif S.} and Peter T{\"o}r{\"o}k",

year = "2004",

doi = "10.1117/12.545885",

language = "English",

volume = "5456",

pages = "220--226",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "Photon Management ; Conference date: 27-04-2004 Through 28-04-2004",

}

TY - JOUR

T1 - Use of a priori object knowledge to achieve super-resolution in optical data storage imaging applications

AU - Sherif, Sherif S.

AU - Török, Peter

PY - 2004

Y1 - 2004

N2 - We describe an aperture-coded hybrid (optical-digital) imaging system to achieve super-resolution for an a priori known class of binary objects. This super-resolution is achieved by aligning the singular functions of a paraxial imaging gathering module and the eigenfunctions of the covariance matrix of this class of binary objects. This work and particularly its potential extension to high numerical aperture vectorial imaging are of interest to optical data storage imaging applications.

AB - We describe an aperture-coded hybrid (optical-digital) imaging system to achieve super-resolution for an a priori known class of binary objects. This super-resolution is achieved by aligning the singular functions of a paraxial imaging gathering module and the eigenfunctions of the covariance matrix of this class of binary objects. This work and particularly its potential extension to high numerical aperture vectorial imaging are of interest to optical data storage imaging applications.

KW - A priori object knowledge

KW - Hybrid imaging systems

KW - Optical data storage

KW - Super-resolution

UR - http://www.scopus.com/inward/record.url?scp=12344293710&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=12344293710&partnerID=8YFLogxK

U2 - 10.1117/12.545885

DO - 10.1117/12.545885

M3 - Conference article

AN - SCOPUS:12344293710

SN - 0277-786X

VL - 5456

SP - 220

EP - 226

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 27

T2 - Photon Management

Y2 - 27 April 2004 through 28 April 2004

ER -

Use of a priori object knowledge to achieve super-resolution in optical data storage imaging applications

Abstract

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Fingerprint

Cite this