• DocumentCode
    1749941
  • Title

    Image interpolation using across-scale pixel correlation

  • Author

    Chen, Tao ; Wu, Hong Ren ; Qiu, Bin

  • Author_Institution
    Sch.of Comput. Sci. & Software Eng., Monash Univ., Clayton, Vic., Australia
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1857
  • Abstract
    A novel method is proposed for image interpolation. It is assumed that the pixel correlation between local regions across scales would remain similar. In addition, this a priori similarity could be extracted from a set of available image data that have the same content but different resolutions. A simple architecture is devised to estimate the correlation efficiently, which is then used to predict the unknown pixel values in a high-resolution image. Evaluation shows a promising performance of the proposed algorithm
  • Keywords
    correlation methods; image resolution; interpolation; across-scale pixel correlation; algorithm performance; high-resolution image; image data; image interpolation; simulation results; Australia; Computer science; Data mining; Image resolution; Image storage; Interpolation; Kernel; Layout; Pixel; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.941305
  • Filename
    941305
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1749941