Palette re-ordering is an effective approach for improvingthe compression of color-indexed images. If the spatial distributionof the indexes in the image is smooth, greater compressionratios may be obtained. As is already known, obtaining an optimalre-indexing scheme is not a trivial task. In this paper, we providea novel algorithm for palette re-ordering problem making use ofa motor map neural network. Experimental results show the realeffectiveness of the proposed method both in terms of compressionratio and zero-order entropy of local differences. Also, its computationalcomplexity is competitive with previous works in the field.

Self Organizing Motor Maps for Colour Mapped Image Re-Indexing

BATTIATO, SEBASTIANO;RUNDO F;STANCO, FILIPPO
2007-01-01

Abstract

Palette re-ordering is an effective approach for improvingthe compression of color-indexed images. If the spatial distributionof the indexes in the image is smooth, greater compressionratios may be obtained. As is already known, obtaining an optimalre-indexing scheme is not a trivial task. In this paper, we providea novel algorithm for palette re-ordering problem making use ofa motor map neural network. Experimental results show the realeffectiveness of the proposed method both in terms of compressionratio and zero-order entropy of local differences. Also, its computationalcomplexity is competitive with previous works in the field.
2007
Indexed images; Motor map; Re-indexing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/8155
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