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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    Title :

    Critical Markov random fields and fractional Brownian motion in texture synthesis


    Contributors:
    Ghozi, R. (author) / Levy, B.C. (author)


    Publication date :

    1994-01-01


    Size :

    464408 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Critical Markov Random Fields and Fractional Brownian Motion in Texture Synthesis

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




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