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Super-Resolution Algorithm Based on Discrete Fourier Transform

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Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence (ICIC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6216))

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Abstract

Super-resolution (SR) processing reconstructs a high-resolution image from a set of low-resolution images for same scene. Spatial domain approaches in the super resolution algorithm were widely used. In this paper, we purposed an algorithm that converts the spatial domain into the frequency domain through the 2-dimension DFT for four low-resolution images. Utilizing the horizontal and vertical DFT (Discrete Fourier Transform) phase spectrum carry the horizontal and vertical direction feature information in frequency domain, we can make a high resolution image presented more visible details. We verify accuracy and efficiency from experimental results.

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Author information

Authors and Affiliations

  1. School of Electrical Engineering, University of Ulsan, South Korea

    Shan Wang, Seung-Hoon Kim, Yue Liu & Hyo-Moon Cho

  2. ATM CO., LTD, South Korea

    Hang-Ki Ryu

Authors
  1. Shan Wang
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  2. Seung-Hoon Kim
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  3. Yue Liu
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  4. Hang-Ki Ryu
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  5. Hyo-Moon Cho
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Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences, Intelligent Computing Laboratory, P.O. Box 1130, 230031, Hefei, Anhui, China

    De-Shuang Huang

  2. Department of Chemistry, University of Louisville, 2320 South Brook Street, 40292, Louisville, KY, USA

    Xiang Zhang

  3. Department of Computational Sciences, National Institute of Astrophysics Optics and Electronics, Luis E. Erro #1, 72840, Tonantzintla, Puebla, Mexico

    Carlos Alberto Reyes García

  4. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

    Lei Zhang

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© 2010 Springer-Verlag Berlin Heidelberg

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Wang, S., Kim, SH., Liu, Y., Ryu, HK., Cho, HM. (2010). Super-Resolution Algorithm Based on Discrete Fourier Transform. In: Huang, DS., Zhang, X., Reyes García, C.A., Zhang, L. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2010. Lecture Notes in Computer Science(), vol 6216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14932-0_46

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  • DOI: https://doi.org/10.1007/978-3-642-14932-0_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14931-3

  • Online ISBN: 978-3-642-14932-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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