• DocumentCode
    694525
  • Title

    Method of single image super-resolution enhancement based on fractal coding

  • Author

    He Si-hua ; Wu Zhen

  • Author_Institution
    Unit 92493, Post-Doctoral Scientific Res. Workstation, PLA, Huludao, China
  • fYear
    2013
  • fDate
    12-13 Oct. 2013
  • Firstpage
    1034
  • Lastpage
    1036
  • Abstract
    According to the local characteristics of image similarity and transitivity, self-similarity and scale invariance characteristic of fractal characteristics, use fractal coding as the characteristic of similarity evaluation criteria, search internal image blocks and use the low resolution image analogy fusion in a single image to reconstruct a high resolution image information blocks, implement super-resolution enhancement based on fractal coding. The experimental results show that the fractal coding method can keep the image details better, the reconstruction error is smaller, is better than the bilinear interpolation and bicubic interpolation method.
  • Keywords
    image coding; image enhancement; image resolution; fractal coding; high resolution image information block reconstruction; image similarity; image transitivity; local characteristics; low resolution image analogy fusion; scale invariance characteristic; search internal image blocks; similarity evaluation criteria; single image super-resolution enhancement; Fractals; Image coding; Image enhancement; Image reconstruction; Image resolution; Interpolation; Reflection; fractal coding; self analogy; single image; super resolution enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
  • Conference_Location
    Dalian
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2013.6967280
  • Filename
    6967280