This paper formulates a two-dimensional, piecewise-cubic interpolator that accounts for non-separable and rotationally asymmetric scene statistics. The resulting kernel has five parameters and is designated 2D-5PCC. As a low-order polynomial with small spatial support, the kernel is easy to implement and efficient to apply. A closed-form solution, developed in this paper, yields the optimal parameter values for scene ensembles characterized by autocorrelation or power spectrum. Experiments indicate that 2D-5PCC yields higher fidelity interpolations than several other popular methods.


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    Title :

    Interpolation by asymmetric, two-dimensional cubic convolution


    Contributors:


    Publication date :

    2005-01-01


    Size :

    1315987 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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