In this paper, a new EDI-based deinterlacing algorithm is proposed. Generally, EDI algorithms perform visually better than any other intrafield deinterlacing algorithm. However, they produce unpleasant results due to their failure in estimating edge direction. To estimate the edge direction precisely, not only simple difference between adjacent two lines but also edge patterns are used. Here, we analyze properties of edge patterns and model them as weight functions. The weight functions help the proposed method to estimate the edge direction precisely.


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    Title :

    EDI-based deinterlacing using edge patterns


    Contributors:
    Min Byun, (author) / Min Kyu Park, (author) / Moon Gi Kang, (author)


    Publication date :

    2005-01-01


    Size :

    1100784 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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