• DocumentCode
    1076724
  • Title

    Video texture modelling and synthesis using fractal processes

  • Author

    Campisi, P. ; Maiorana, E. ; Neri, A. ; Scarano, G.

  • Author_Institution
    Dipt. Elettron. Applicata, Univ. degli Studi ´´Roma Tre´´ Via Delia Vasca Navale, Rome
  • Volume
    2
  • Issue
    1
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    17
  • Abstract
    The authors propose a new approach for the synthesis of natural video textures using a fractal- based approach. Specifically, a video texture is modelled according to the three-dimensional (3D) extended self-similar (ESS) model introduced, which generalises the fractional Brownian motion process. The analysis of original video textures is based on the estimation of the autocorrelation functions (ACFs) of the textures´ increments. The 3D-ESS model is then used to synthesise a process whose increments have the same ACFs of the given prototype. The synthesis is accomplished by generalising to the 3D case the incremental Fourier synthesis algorithm. Experimental results for the analysis and synthesis of natural video textures are eventually provided.
  • Keywords
    Brownian motion; Fourier analysis; correlation methods; estimation theory; fractals; image texture; solid modelling; video signal processing; 3D ESS model; autocorrelation function estimation; extended self-similar model; fractal-based approach; fractional Brownian motion process; incremental Fourier synthesis algorithm; video texture modelling; video texture synthesis;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9659
  • Type

    jour

  • DOI
    10.1049/iet-ipr:20065010
  • Filename
    4455540