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International Conference on Multimedia, Computer Graphics, and Broadcasting

International Conference on Signal Processing, Image Processing, and Pattern Recognition

MulGraB 2010, SIP 2010: Signal Processing and Multimedia pp 16–23Cite as

Single Image Super-Resolution via Edge Reconstruction and Image Fusion

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 123))

Abstract

For decades, image super-resolution reconstruction is one of the research hotspots in the field of image processing. This paper presents a novel approach to deal with single image super-resolution. It’s proven that image patches can be represented as a sparse linear combination of elements from a well-chosen over-complete dictionary. Using a dictionary of image patches learned by K-SVD algorithm, we exploit the similarity of sparse representations to form an image with edge-preserving information as guidance. After optimizing the guide image, the joint bilateral filter is applied to transfer the edge and contour information to gain smooth edge details. Merged with texture-preserving images, experiments show that the reconstructed images have higher visual quality compared to other similar SR methods.

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Author information

Authors and Affiliations

  1. School of Communication and Information Engineering, Shanghai University, Shanghai, China

    Guangling Sun & Zhoubiao Shen

Authors
  1. Guangling Sun
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  2. Zhoubiao Shen
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Editor information

Editors and Affiliations

  1. Hannam University, Daejeon, South Korea

    Tai-hoon Kim

  2. Indian Statistical Institute, Kolkata, India

    Sankar K. Pal

  3. Department of Computer and Information Science, University of Michigan – Dearborn, 4901 Evergreen Road, 48128, Dearborn, MI, USA

    William I. Grosky

  4. Florida International University, EC 2910, 10555 W. Flagler Street, 33174, Miami, FL, USA

    Niki Pissinou

  5. National Taipei University of Education, No.134, Sec. 2, Heping E. Rd., Da-an District, 106, Taipei City, Taiwan (R.O.C.)

    Timothy K. Shih

  6. University of Warsaw & Infobright Inc., Poland

    Dominik Ślęzak

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© 2010 Springer-Verlag Berlin Heidelberg

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Sun, G., Shen, Z. (2010). Single Image Super-Resolution via Edge Reconstruction and Image Fusion. In: Kim, Th., Pal, S.K., Grosky, W.I., Pissinou, N., Shih, T.K., Ślęzak, D. (eds) Signal Processing and Multimedia. MulGraB SIP 2010 2010. Communications in Computer and Information Science, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17641-8_3

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  • DOI: https://doi.org/10.1007/978-3-642-17641-8_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17640-1

  • Online ISBN: 978-3-642-17641-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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