We use maximum-likelihood (ML) estimation to clean up the depth-variant image blur in volume holographic profilometry and to reconstruct the surface with high accuracy. Viterbi algorithm is used in ML estimation to reduce computational complexity and bit error rate.


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    Title :

    Maximum-likelihood surface reconstruction with Viterbi algorithm for volume holographic profilometry


    Contributors:


    Publication date :

    2005-01-01


    Size :

    1595194 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English