Palette-Based Color Harmonization via Color Naming
Xue, Danna (Centre de Visió per Computador)
Vázquez i Corral, Javier (Universitat Autònoma de Barcelona)
Herranz, Luis (Universidad Autónoma de Madrid)
Zhang, Yanning (Northwestern Polytechnical University (China))
Brown, Michael S. (York University (Canadá))

Date:	2024
Abstract:	Color harmony refers to combinations of colors that look pleasing together. We present a novel strategy to harmonize an image's colors using color-palette manipulation and color naming. Palette-based color manipulation is a method that extracts a few colors to represent the image. Modifying the palette colors modifies the color appearance of the image. A color-naming model is a mechanism to categorize colors into a fixed number of basic color terms. Working from a color-naming model, we derive a set of prototype colors and demonstrate that mapping an image's extracted color palette to the nearest prototype colors effectively harmonizes the image's colors. This straightforward approach yields visually compelling, outperforming more complex color harmony methods.
Grants:	Agencia Estatal de Investigación PID2021-128178OB-I00 Agència de Gestió d'Ajuts Universitaris i de Recerca 2021/SGR-01499 Ministerio de Ciencia e Innovación RYC2019-027020-I
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Language:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Subject:	Color harmonization ; Color modification ; Color naming ; Color palette ; Image recoloring
Published in:	IEEE Signal Processing Letters, Vol. 31 (2024) , p. 1474-1478, ISSN 1558-2361

DOI: 10.1109/LSP.2024.3401612

Postprint 6 p, 1.1 MB

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