• DocumentCode
    1668658
  • Title

    Non-parametric single image super resolution

  • Author

    Yunsang Han ; Tae Byeong Chae ; Sangkeun Lee

  • Author_Institution
    Imaging Eng. GSAIM, Chung-Ang Univ., Seoul, South Korea
  • fYear
    2013
  • Firstpage
    281
  • Lastpage
    284
  • Abstract
    In this paper, we introduce a single image super resolution based on non-parametric local information. The basic idea of the proposed method is to use a property, which is inferred by relations between input and its lower resolution images, of an unknown high resolution image. The experimental results show the efficiency of the proposed algorithm compared to a state-of-the-art method. Besides, the proposed method is not only much faster than the compared method but also able to implement in hardware such as digital TVs and smart phones. Therefore, we believe that the proposed method can be a useful tool for super resolution-related fields.
  • Keywords
    image resolution; parameter estimation; digital TVs; high resolution image; low resolution image; nonparametric local information; nonparametric single image super resolution; smart phones; state-of-the-art method; super resolution-related fields; Algorithm design and analysis; Complexity theory; Computer vision; Conferences; Image resolution; Joints; Signal resolution; Non-parametric; Parameter estimation; Super resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers of Computer Vision, (FCV), 2013 19th Korea-Japan Joint Workshop on
  • Conference_Location
    Incheon
  • Print_ISBN
    978-1-4673-5620-6
  • Type

    conf

  • DOI
    10.1109/FCV.2013.6485505
  • Filename
    6485505