Estimation of high resolution images and registration parameters from low resolution observations

Salvador Villena; Javier Abad; Rafael Molina; Aggelos K. Katsaggelos

Estimation of high resolution images and registration parameters from low resolution observations

Salvador Villena^*, Javier Abad, Rafael Molina, Aggelos K. Katsaggelos

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

In this paper we consider the problem of reconstructing a high resolution image from a set of undersampled and degraded frames, all of them obtained from high resolution images with unknown shifting displacements between them. We derive an iterative method to estimate the unknown shifts and the high resolution image given the low resolution observations. Finally, the proposed method is tested on real images.

Original language	English (US)
Pages (from-to)	509-516
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3287
State	Published - Dec 1 2004

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Cite this

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title = "Estimation of high resolution images and registration parameters from low resolution observations",

abstract = "In this paper we consider the problem of reconstructing a high resolution image from a set of undersampled and degraded frames, all of them obtained from high resolution images with unknown shifting displacements between them. We derive an iterative method to estimate the unknown shifts and the high resolution image given the low resolution observations. Finally, the proposed method is tested on real images.",

author = "Salvador Villena and Javier Abad and Rafael Molina and Katsaggelos, {Aggelos K.}",

year = "2004",

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day = "1",

language = "English (US)",

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Estimation of high resolution images and registration parameters from low resolution observations. / Villena, Salvador; Abad, Javier; Molina, Rafael et al.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3287, 01.12.2004, p. 509-516.

Research output: Contribution to journal › Article › peer-review

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T1 - Estimation of high resolution images and registration parameters from low resolution observations

AU - Villena, Salvador

AU - Abad, Javier

AU - Molina, Rafael

AU - Katsaggelos, Aggelos K.

PY - 2004/12/1

Y1 - 2004/12/1

N2 - In this paper we consider the problem of reconstructing a high resolution image from a set of undersampled and degraded frames, all of them obtained from high resolution images with unknown shifting displacements between them. We derive an iterative method to estimate the unknown shifts and the high resolution image given the low resolution observations. Finally, the proposed method is tested on real images.

AB - In this paper we consider the problem of reconstructing a high resolution image from a set of undersampled and degraded frames, all of them obtained from high resolution images with unknown shifting displacements between them. We derive an iterative method to estimate the unknown shifts and the high resolution image given the low resolution observations. Finally, the proposed method is tested on real images.

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JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

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Estimation of high resolution images and registration parameters from low resolution observations

Abstract

ASJC Scopus subject areas

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