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.File | Dimensione | Formato | |
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Reindexing_IEEE Transactions on Image Processing_2007.pdf
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