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Perceptual-based color quantization

Conference Paper
Publication Date:
2017
abstract:
The paper presents a method for color quantization (CQ) which uses visual contrast for determining an image-dependent color palette. The proposed method selects image regions in a hierarchical way, according to the visual importance of their colors with respect to the whole image. The method is automatic, image dependent and requires a moderate computational effort. Preliminary results show that the quality of quantized images, measured in terms of Mean Square Error, Color Loss and SSIM, is competitive with some existing CQ approaches.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Color quantization; Human visual system; RGB color space; Visual contrast
List of contributors:
Bruni, Vittoria; Ramella, Giuliana; Vitulano, Domenico
Authors of the University:
RAMELLA GIULIANA
Handle:
https://iris.cnr.it/handle/20.500.14243/341837
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http://www.scopus.com/record/display.url?eid=2-s2.0-85032461758&origin=inward
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