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Iberian Conference on Pattern Recognition and Image Analysis

IbPRIA 2003: Pattern Recognition and Image Analysis pp 538–546Cite as

Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2652))

Abstract

This paper deals with the problem of reconstructing a high-resolution image from an incomplete set of undersampled, blurred and noisy images shifted with subpixel displacement. We derive mathematical expressions for the calculation of the maximum a posteriori estimate of the high resolution image and the estimation of the parameters involved in the model. We also examine the role played by the prior model when this incomplete set of low resolution images is used. The performance of the method is tested experimentally.

This work has been partially supported by the “Comisión Nacional de Ciencia y Tecnología” under contract TIC2000-1275.

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Author information

Authors and Affiliations

  1. Dpto. de Ciencias de la Computación e I.A., Universidad de Granada, 18071, Granada, Spain

    Javier Mateos & Rafael Molina

  2. Dpto. de Lenguajes y Sistemas Informáticos, Universidad de Granada, 18071, Granada, Spain

    Miguel Vega

  3. Dept. of Electrical and Computer Engineering, Northwestern University, Evanston, IL, 60208-3118, USA

    Aggelos K. Katsaggelos

Authors
  1. Javier Mateos
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  2. Miguel Vega
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  3. Rafael Molina
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  4. Aggelos K. Katsaggelos
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Editor information

Editors and Affiliations

  1. Unitat de Gràfics i Visió per Ordinador Departament de Ciències Matemàtiques i Informàtica, Universitat de les Illes Balears Edifici Anselm Turmeda, Ctra. de Valldemossa km 7,5, 07122, Palma de Mallorca, Spain

    Francisco José Perales

  2. FEUP - Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio J. C. Campilho

  3. Departamento de Ciencias da la Computacíon e I.A., Universidad de Granada, E.T. S. Ing. Informática, 18071, Granada, Spain

    Nicolás Pérez de la Blanca

  4. Dept. System Engineering and Automation, Universitat Politècnica de Catalunya (UPC) Barcelona, Spain

    Alberto Sanfeliu

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© 2003 Springer-Verlag Berlin Heidelberg

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Mateos, J., Vega, M., Molina, R., Katsaggelos, A.K. (2003). Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_63

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  • DOI: https://doi.org/10.1007/978-3-540-44871-6_63

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40217-6

  • Online ISBN: 978-3-540-44871-6

  • eBook Packages: Springer Book Archive

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