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Article Dans Une Revue Journal of Electronic Imaging Année : 2006

Adaptive color quantization using the baker's transformation

Résumé

In this article we propose an original technique to reduce the number of colors contained in an image. This method uses the "Bakers Transformation", which obtains a statistically suitable mixture of the pixels of the image. mm this mixture, we can extract several samples, which present the same characteristics as the initial image. The concept we imagined is to consider these samples as potential pallets of colors. These pallets make it possible to do an adaptive quantization of the efiectiue number of colors. We consider, and we put in competition, three methods to obtain a single pallet. Firstly, we present the "Baker 's Transformation". Secondly, we present methods to have a single pallet. Third part is dedicated to results illustrating the good visual quality reached by the quantized images. Finally, we present a comparison between our method and three classical methods of quantization.
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Dates et versions

hal-00342254 , version 1 (05-02-2014)

Identifiants

Citer

Christophe Montagne, Sylvie Lelandais, André Smolarz, Philippe Cornu, Mohamed-Chaker Larabi, et al.. Adaptive color quantization using the baker's transformation. Journal of Electronic Imaging, 2006, 15 (2), (elec. proc.). ⟨10.1117/1.2199854⟩. ⟨hal-00342254⟩
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