Maximum a posteriori video super-resolution with a new multichannel image prior

Stefanos P. Belekos; Nikolaos P. Galatsanos; Aggelos K. Katsaggelos

Maximum a posteriori video super-resolution with a new multichannel image prior

Stefanos P. Belekos^*, Nikolaos P. Galatsanos, Aggelos K. Katsaggelos

^*Corresponding author for this work

Electrical and Computer Engineering

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

5 Scopus citations

Abstract

Super-resolution (SR) is the term used to define the process of estimating a high resolution (HR) image or a set of HR images from a set of low resolution (LR) observations. In this paper we propose a class of SR algorithms based on the maximum a posteriori (MAP) framework. These algorithms utilize a new multichannel image prior model, along with the state-of-the art image prior and observation models. Numerical experiments comparing the proposed algorithms, demonstrate the advantages of the adopted multichannel approach. copyright by EURASIP.

Original language	English (US)
Journal	European Signal Processing Conference
State	Published - 2008
Event	16th European Signal Processing Conference, EUSIPCO 2008 - Lausanne, Switzerland Duration: Aug 25 2008 → Aug 29 2008

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Maximum a posteriori video super-resolution with a new multichannel image prior",

abstract = "Super-resolution (SR) is the term used to define the process of estimating a high resolution (HR) image or a set of HR images from a set of low resolution (LR) observations. In this paper we propose a class of SR algorithms based on the maximum a posteriori (MAP) framework. These algorithms utilize a new multichannel image prior model, along with the state-of-the art image prior and observation models. Numerical experiments comparing the proposed algorithms, demonstrate the advantages of the adopted multichannel approach. copyright by EURASIP.",

author = "Belekos, {Stefanos P.} and Galatsanos, {Nikolaos P.} and Katsaggelos, {Aggelos K.}",

year = "2008",

language = "English (US)",

journal = "European Signal Processing Conference",

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publisher = "European Signal Processing Conference, EUSIPCO",

note = "16th European Signal Processing Conference, EUSIPCO 2008 ; Conference date: 25-08-2008 Through 29-08-2008",

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T1 - Maximum a posteriori video super-resolution with a new multichannel image prior

AU - Belekos, Stefanos P.

AU - Galatsanos, Nikolaos P.

AU - Katsaggelos, Aggelos K.

PY - 2008

Y1 - 2008

N2 - Super-resolution (SR) is the term used to define the process of estimating a high resolution (HR) image or a set of HR images from a set of low resolution (LR) observations. In this paper we propose a class of SR algorithms based on the maximum a posteriori (MAP) framework. These algorithms utilize a new multichannel image prior model, along with the state-of-the art image prior and observation models. Numerical experiments comparing the proposed algorithms, demonstrate the advantages of the adopted multichannel approach. copyright by EURASIP.

AB - Super-resolution (SR) is the term used to define the process of estimating a high resolution (HR) image or a set of HR images from a set of low resolution (LR) observations. In this paper we propose a class of SR algorithms based on the maximum a posteriori (MAP) framework. These algorithms utilize a new multichannel image prior model, along with the state-of-the art image prior and observation models. Numerical experiments comparing the proposed algorithms, demonstrate the advantages of the adopted multichannel approach. copyright by EURASIP.

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UR - http://www.scopus.com/inward/citedby.url?scp=84863748182&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84863748182

SN - 2219-5491

JO - European Signal Processing Conference

JF - European Signal Processing Conference

T2 - 16th European Signal Processing Conference, EUSIPCO 2008

Y2 - 25 August 2008 through 29 August 2008

ER -

Maximum a posteriori video super-resolution with a new multichannel image prior

Abstract

ASJC Scopus subject areas

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