• DocumentCode
    1439491
  • Title

    A wavelet-based multiresolution statistical model for texture

  • Author

    Zhang, J. ; Wang, D. ; Tran, Q.N.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA
  • Volume
    7
  • Issue
    11
  • fYear
    1998
  • fDate
    11/1/1998 12:00:00 AM
  • Firstpage
    1621
  • Lastpage
    1627
  • Abstract
    A multiresolution statistical model, consisting of random fields in wavelet subbands, is proposed for texture, and has produced promising results in texture synthesis experiments, the basic idea here is that a complex random field model, e.g., one that contains long-range and nonlinear spatial correlations, can be constructed from several simpler ones
  • Keywords
    image reconstruction; image resolution; image texture; random processes; statistical analysis; wavelet transforms; complex random field model; images; long-range correlations; nonlinear spatial correlations; random fields; texture synthesis; wavelet subbands; wavelet-based multiresolution statistical model; Image analysis; Image coding; Image processing; Image resolution; Image restoration; Image retrieval; Image segmentation; Image texture analysis; Markov random fields; Spatial resolution;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.725370
  • Filename
    725370
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1439491