We propose a new non-linear approach of high order context to image interpolation. A global texture orientation map is generated by directional Gabor filters to estimate the edge directions in subpixel precision. The interpolation direction is further refined by a kernel Fisher discriminant that exploits prior knowledge gained from a training set. Experiments show that the proposed method can preserve edge sharpness and subdue the ringing artifacts better than the existing methods, and it obtains higher PSNR as well.


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    Titel :

    Image interpolation using texture orientation map and kernel Fisher discriminant


    Beteiligte:
    Xiaolin Wu, (Autor:in) / Xiangjun Zhang, (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    174557 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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