A new technique for color quantization is suggested. First, pre-quantization is accomplished by means of spatial resolution reduction; then, color aggregation is accomplished based on the distance between colors in the color space. Color aggregation is an iterated process where the number of iterations is given by the difference between the number of colors of the pre-quantized image, and the number of colors desired for the quantized image. Color mapping is finally accomplished. Performance evaluation is done in terms of generally adopted quality measures. Comparisons with other methods in the literature are also provided.

A new method for color quantization

Ramella G;Sanniti di Baja G
2016

Abstract

A new technique for color quantization is suggested. First, pre-quantization is accomplished by means of spatial resolution reduction; then, color aggregation is accomplished based on the distance between colors in the color space. Color aggregation is an iterated process where the number of iterations is given by the difference between the number of colors of the pre-quantized image, and the number of colors desired for the quantized image. Color mapping is finally accomplished. Performance evaluation is done in terms of generally adopted quality measures. Comparisons with other methods in the literature are also provided.
2016
Istituto Applicazioni del Calcolo ''Mauro Picone''
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Inglese
Yetongnon k., Dipanda A., Chbeir R., De Pietro G., Gallo L.
12th International Conference on Signal Image Technology & Internet-Based Systems -- SITIS 2016 --
1
6
6
978-1-5090-5698-9
IEEE Computer Society
Los Alamitos, CA
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
image compression and processing
color quantization
clustering
2
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
none
Ramella, G; Sanniti di Baja, G
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/324642
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