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Computation Time Optimization in Super-Resolution Applications

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Computer Aided Systems Theory - EUROCAST 2013 (EUROCAST 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8112))

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Abstract

The necessity to improve image resolution is of great concern in multiple diverse fields such as: medicine, communications, or satellite and underwater applications. A high variety of techniques for image enhancement has been proposed in the literature, being a trade-off the relation between the computation time and the quality of the obtained results. This work is focused on a test environment that permits to objectively compare the quality enhancement of images processed by two different improvement methods: bilinear interpolation and Super-Resolution (SR), presenting how these results relate to the computation time. The objective comparison is based on the PSNR (Peak Signal-to-Noise Ratio) and the SSIM (Structural SIMilarity).

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References

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Authors and Affiliations

  1. Oceanic Platform of the Canary Islands, Carretera de Taliarte s/n, 35200, Telde, Spain

    Eduardo Quevedo & David Horat

  2. Research Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Campus Universitario de Tafira, Las Palmas de Gran Canaria, Spain

    Eduardo Quevedo, Gustavo M. Callicó & Félix Tobajas

Authors
  1. Eduardo Quevedo
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  2. David Horat
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  3. Gustavo M. Callicó
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  4. Félix Tobajas
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Editor information

Editors and Affiliations

  1. Universidad de Las Palmas de Gran Canaria, Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Campus de Tafira, 35017, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz  & Alexis Quesada-Arencibia  & 

  2. Johannes Kepler Universität Linz, Altenbergerstrasse 69, 4040, Linz, Austria

    Franz Pichler

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© 2013 Springer-Verlag Berlin Heidelberg

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Quevedo, E., Horat, D., Callicó, G.M., Tobajas, F. (2013). Computation Time Optimization in Super-Resolution Applications. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2013. EUROCAST 2013. Lecture Notes in Computer Science, vol 8112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53862-9_14

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  • DOI: https://doi.org/10.1007/978-3-642-53862-9_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53861-2

  • Online ISBN: 978-3-642-53862-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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