• DocumentCode
    177783
  • Title

    Surface Interpolation to Image with Edge Preserving

  • Author

    Ling Zhang ; Caiming Zhang ; Yuanfeng Zhou ; Xuemei Li

  • Author_Institution
    Sch. of Comput. Sci. & Technol., ShanDong Univ., Jinan, China
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    1055
  • Lastpage
    1060
  • Abstract
    Based on the assumption that low-resolution image is sampled from an original scene approximated by piecewise polynomial surface, this paper proposes two different constraints to make the fitting surface of the original scene preserve the image´s edge characteristics. We first construct a cubic parametric curve to approximate the edge in each local area and obtain an auxiliary pixel set by re-sampling the curve, then introduce a weight function to accord pixels different degrees of effects on surface reconstruction. By re-sampling the constructed surface, the enlarged image can be easily obtained. Extensive experimental results on various types of low-resolution images demonstrate that our method produces generally better results both in terms of quantitative evaluation and subjective visual quality.
  • Keywords
    image reconstruction; image resolution; interpolation; auxiliary pixel set; cubic parametric curve; curve resampling; edge preserving; low-resolution image; piecewise polynomial surface; quantitative evaluation; subjective visual quality; surface interpolation; surface reconstruction; weight function; Image edge detection; Image reconstruction; Interpolation; Polynomials; Surface fitting; Surface reconstruction; Surface treatment; curve; edge; fitting surface; weight function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.191
  • Filename
    6976901