Direct Superresolution Technique for Solving a Miniature Multi-Shift Imaging System

Basel Salahieh; Jeffrey J. Rodriguez; Rongguang Liang

Direct Superresolution Technique for Solving a Miniature Multi-Shift Imaging System

Optical Sciences

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

Abstract

Regularized superresolution techniques incorporate optimizers and priors to deliver appealing restorations even though deviating from the physical reconstructions. We propose a non-regularized superresolution algorithm that directly solves a fully-characterized multi-shift imaging system to grant realistic restorations without such constraints.

Original language	English (US)
Article number	JW3A.5
Journal	Optics InfoBase Conference Papers
State	Published - 2015
Event	Computational Optical Sensing and Imaging, COSI 2015 - Arlington, United States Duration: Jun 7 2015 → Jun 11 2015

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

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title = "Direct Superresolution Technique for Solving a Miniature Multi-Shift Imaging System",

abstract = "Regularized superresolution techniques incorporate optimizers and priors to deliver appealing restorations even though deviating from the physical reconstructions. We propose a non-regularized superresolution algorithm that directly solves a fully-characterized multi-shift imaging system to grant realistic restorations without such constraints.",

author = "Basel Salahieh and Rodriguez, \{Jeffrey J.\} and Rongguang Liang",

note = "Publisher Copyright: {\textcopyright} 2015 OSA.; Computational Optical Sensing and Imaging, COSI 2015 ; Conference date: 07-06-2015 Through 11-06-2015",

year = "2015",

language = "English (US)",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

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TY - JOUR

T1 - Direct Superresolution Technique for Solving a Miniature Multi-Shift Imaging System

AU - Salahieh, Basel

AU - Rodriguez, Jeffrey J.

AU - Liang, Rongguang

PY - 2015

Y1 - 2015

N2 - Regularized superresolution techniques incorporate optimizers and priors to deliver appealing restorations even though deviating from the physical reconstructions. We propose a non-regularized superresolution algorithm that directly solves a fully-characterized multi-shift imaging system to grant realistic restorations without such constraints.

AB - Regularized superresolution techniques incorporate optimizers and priors to deliver appealing restorations even though deviating from the physical reconstructions. We propose a non-regularized superresolution algorithm that directly solves a fully-characterized multi-shift imaging system to grant realistic restorations without such constraints.

UR - https://www.scopus.com/pages/publications/85136296304

UR - https://www.scopus.com/pages/publications/85136296304#tab=citedBy

M3 - Conference article

AN - SCOPUS:85136296304

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - JW3A.5

T2 - Computational Optical Sensing and Imaging, COSI 2015

Y2 - 7 June 2015 through 11 June 2015

ER -

Direct Superresolution Technique for Solving a Miniature Multi-Shift Imaging System

Abstract

ASJC Scopus subject areas

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