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Robust Super-Resolution Using a Median Filter for Irregular Samples

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Pattern Recognition and Image Analysis (IbPRIA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5524))

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Abstract

Super-resolution (SR) techniques produce a high resolution (HR) image from a set of low-resolution (LR) undersampled images. Usually, SR problems are posed as estimation problems where the LR images are contaminated by stationary noise. However, in real SR problems is very common to have non-stationary noise due to problems in the registration of the images or outliers. SR methods that address this type of problems are called robust. In this paper we propose a novel robust SR method that employs a median filter directly in the data from the LR images, before proceeding to the interpolation and deblurring steps that are common in SR. We compare this new method with other robust SR methods with synthetic and real data, proving that it outperforms the other methods in both cases.

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Author information

Authors and Affiliations

  1. Universidad Nacional de Educación a Distancia, Madrid, Spain

    Alfonso Sánchez-Beato

  2. Universidad Complutense de Madrid, Madrid, Spain

    Gonzalo Pajares

Authors
  1. Alfonso Sánchez-Beato
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  2. Gonzalo Pajares
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Editor information

Editors and Affiliations

  1. Institute of Systems and Robotics, Dept. of Electrical and Computer Eng.-Polo II, University of Coimbra, 3030-290, Coimbra, Portugal

    Helder Araujo

  2. Institute of Biomedical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Ana Maria Mendonça

  3. Dept. de Electrónica e Telecomunicações / IEETA, Universidade de Aveiro, Signal Processing Lab, DETI/IEETA, University of Aveiro, 3810–193, Aveiro, Portugal

    Armando J. Pinho

  4. Departamento de Electricidad y Electrónica, Fac. Ciencia y Tecnología - UPV/EHU, Universidad del País Vasco, Apartado 644, 48080, Bilbao, Spain

    María Inés Torres

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© 2009 Springer-Verlag Berlin Heidelberg

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Sánchez-Beato, A., Pajares, G. (2009). Robust Super-Resolution Using a Median Filter for Irregular Samples. In: Araujo, H., Mendonça, A.M., Pinho, A.J., Torres, M.I. (eds) Pattern Recognition and Image Analysis. IbPRIA 2009. Lecture Notes in Computer Science, vol 5524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02172-5_39

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  • DOI: https://doi.org/10.1007/978-3-642-02172-5_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02171-8

  • Online ISBN: 978-3-642-02172-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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