• DocumentCode
    1625118
  • Title

    Investigating image super resolution techniques: What to choose?

  • Author

    Qureshi, Shahryar Shafique ; Li, Xue Ming ; Ahmad, Toufeeq

  • Author_Institution
    Beijing Key Lab. of Network Syst. & Network Culture, Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • Firstpage
    642
  • Lastpage
    647
  • Abstract
    Super resolution image reconstruction refers to a process of creating a high resolution image from a single or multiple low resolution image(s). The main goal is to extract the useful information or required image details. Several super resolution reconstruction techniques have been proposed, which can be mainly divided into two families: (1) Multi image super resolution (2) Single image super resolution. In this paper we present comprehensive overview of the well known super resolution techniques for both mentioned families. We also discuss the recent developments, some applications of super resolution, simulation results and the future research challenges. We conducted several experiments on different images for the purpose of their quantitative and qualitative comparison.
  • Keywords
    image reconstruction; high resolution image; image super resolution techniques; multiple low resolution image; super resolution image reconstruction; Frequency domain analysis; Image reconstruction; Image resolution; Image restoration; Interpolation; Signal resolution; Strontium; Compressed Sensing; Image Reconstruction; Iterative Back-Projection; Projection Onto Convex Sets; Super resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2012 14th International Conference on
  • Conference_Location
    PyeongChang
  • ISSN
    1738-9445
  • Print_ISBN
    978-1-4673-0150-3
  • Type

    conf

  • Filename
    6174750