Color Palette Images Re-indexing by Self Organizing Motor Maps

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Date
2006
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description

        
@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
} }
Citation