• DocumentCode
    676425
  • Title

    A double constrained soft-decision image interpolation algorithm

  • Author

    Xuexia Zhong ; Guorui Feng ; Jian Wang

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • fYear
    2013
  • fDate
    22-25 Oct. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The key to image interpolation is recovering pristine edge and detailed information as much as possible. Robust soft-decision adaptive interpolation (RSAI) shows excellent interpolation performance by adding weighted least squares estimation to soft-decision adaptive interpolation (SAI).We put forward a novel interpolation strategy-double constraints to modify and improve RSAI. Every pixel is double bound during data estimation, by which edge details and textures are better preserved. Experimental results demonstrate that our proposed algorithm produces the best interpolation results among state-of-the-art algorithms based on PSNR and SSIM objective evaluations.
  • Keywords
    image reconstruction; image resolution; image texture; interpolation; least squares approximations; PSNR objective evaluations; RSAI; SSIM objective evaluations; data estimation; double constrained soft-decision image interpolation algorithm; edge details; edge textures; interpolation strategy-double constraints; peak signal-to-noise ratio; pristine edge information; robust soft-decision adaptive interpolation; structural similarity; weighted least squares estimation; Educational institutions; Equations; Estimation; Image edge detection; Interpolation; Mathematical model; Robustness; Double constraints; edge preservation; interpolation and soft-decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
  • Conference_Location
    Xi´an
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-2825-5
  • Type

    conf

  • DOI
    10.1109/TENCON.2013.6718495
  • Filename
    6718495