The wavelet filters of the conventional 3D multiresolution analysis possess homogeneous spatial and temporal frequency characteristics which limits one's ability to match filter frequency characteristics to signal frequency behavior. Also, the conventional 3D multiresolution analysis employs an oct-tree decomposition structure which restricts the analysis of signal details to identical resolutions in space and time. This paper presents a 3D wavelet multiresolution analysis constructed from nonhomogeneous spatial and temporal filters, and an orthogonal sub-band coding scheme that decouples the spatial and temporal decomposition processes.


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    Title :

    A wavelet multiresolution analysis for spatio-temporal signals


    Contributors:
    Burns, T.J. (author) / Rogers, S.K. (author) / Oxley, M.E. (author) / Ruck, D.W. (author)


    Publication date :

    1996-04-01


    Size :

    13450446 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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