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    Color Palette Images Re-indexing by Self Organizing Motor Maps

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    241-246.pdf (192.2Kb)
    Date
    2006
    Author
    Battiato, S.
    Rundo, F.
    Stanco, F.
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    Abstract
    Palette re-ordering is a well known and very effective approach for improving the compression of color-indexed images. If the spatial distribution of the indexes in the image is smooth, greater compression ratios may be obtained. As known, obtaining an optimal re-indexing scheme is not a simple problem. In this paper we provide a novel algorithm for palette re-ordering problem showing the advantages of using a neural network instead of classical heuristic methods. We propose to apply the Motor Map neural network which is considered an extension of the well-known SOM Kohonen neural network. Experiments confirm the effectiveness of the proposed technique.
    BibTeX
    @inproceedings {10.2312:LocalChapterEvents:ItalianChapConf2006:241-246,
    booktitle = {4th Eurographics Italian Chapter Conference},
    editor = {S. Battiato and G. Gallo and F. Stanco},
    title = {{Color Palette Images Re-indexing by Self Organizing Motor Maps}},
    author = {Battiato, S. and Rundo, F. and Stanco, F.},
    year = {2006},
    publisher = {The Eurographics Association},
    ISBN = {3-905673-58-4},
    DOI = {10.2312/LocalChapterEvents/ItalianChapConf2006/241-246}
    }
    URI
    http://dx.doi.org/10.2312/LocalChapterEvents/ItalianChapConf2006/241-246
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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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