Color Palette Images Re-indexing by Self Organizing Motor Maps

Battiato, S.; Rundo, F.; Stanco, F.

Color Palette Images Re-indexing by Self Organizing Motor Maps

Files

241-246.pdf (192.29 KB)

Date

2006

Authors

Battiato, S.
Rundo, F.
Stanco, F.

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.

        @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
}
}