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Spatial Resolution and Distance Information for Color Quantization

Chapter
Publication Date:
2013
abstract:
A new color quantization algorithm, CQ, is presented, which includes two phases. The first phase reduces the number of colors by reducing the spatial resolution of the input image. The second phase furthermore reduces the number of colors by performing color clustering guided by distance information. Then, color mapping completes the process. The algorithm has been tested on a large number of color images with different size and color distribution, and the performance has been compared to the performance of other algorithms in the literature.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Color Quantization; Image Scaling; Distance Transform; Voronoi Diagram
List of contributors:
Ramella, Giuliana; SANNITI DI BAJA, Gabriella
Authors of the University:
RAMELLA GIULIANA
Handle:
https://iris.cnr.it/handle/20.500.14243/215268
Book title:
Image Analysis and Processing - ICIAP 2013
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URL

http://link.springer.com/chapter/10.1007/978-3-642-41184-7_65
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