In this paper we study and compare critical Markov random fields (CMRFs) and fractional Brownian motions (FBMs). Both of these classes of models can be used to describe self-similar phenomena. Their characteristics, namely the index of similarity of a FBM, and the critical exponents of a CMRF, are defined and contrasted. We argue that CMRFs provide a more flexible mechanism for generating self-similar patterns, since the parameters of a CMRF can be selected to generate anisotropic patterns, while FBM models are inherently isotropic.<>


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    Titel :

    Critical Markov random fields and fractional Brownian motion in texture synthesis


    Beteiligte:
    Ghozi, R. (Autor:in) / Levy, B.C. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    464408 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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    Ghozi, R. / Levy, B. C. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994




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