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A Framework for Harmonic Color Measures
Michel Alves dos Santos ∗
January, 2014
Abstract
This theme has as main objective to introduce a quality comparison
scale for color images that takes into account the balance or harmony
existing between set of colors of the input model/image. The main idea
is to measure the "harmonic distance" of the input model in relation to a
particular scheme but not perform the harmonization proccess.
Keywords: harmonization, image colour analysis, image processing, im-
age processing applications, image quality, mathematical models, color
harmonization methods, color harmony, local smoothness, matching func-
tion, harmonic template, pre-harmonization, harmonic analysis, signal
processing, visual artifact, color wheel, segmentation, visual perception,
human visual system.
∗Michel Alves dos Santos - Alves, M. - malves@cos.ufrj.br - http://www.michelalves.com. MSc. Candidate in
Computer Graphics, Image Processing and Computer Vision. http://www.lcg.ufrj.br - Laboratory of Computer
Graphics - LCG. Graduate Program in Systems Engineering and Computing (PESC). Alberto Luiz Coimbra In-
stitute for Graduate Studies and Research in Engineering - COPPE. Federal University of Rio de Janeiro (UFRJ -
http://www.ufrj.br), Brazil - Rio de Janeiro/RJ, Phone: (21) 8204-7102.
1
Bibliography: A Framework for Harmonic Color Measures
Michel Alves dos Santos
January, 2014
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A Framework for Harmonic Color Measures

  • 1. A Framework for Harmonic Color Measures Michel Alves dos Santos ∗ January, 2014 Abstract This theme has as main objective to introduce a quality comparison scale for color images that takes into account the balance or harmony existing between set of colors of the input model/image. The main idea is to measure the "harmonic distance" of the input model in relation to a particular scheme but not perform the harmonization proccess. Keywords: harmonization, image colour analysis, image processing, im- age processing applications, image quality, mathematical models, color harmonization methods, color harmony, local smoothness, matching func- tion, harmonic template, pre-harmonization, harmonic analysis, signal processing, visual artifact, color wheel, segmentation, visual perception, human visual system. ∗Michel Alves dos Santos - Alves, M. - malves@cos.ufrj.br - http://www.michelalves.com. MSc. Candidate in Computer Graphics, Image Processing and Computer Vision. http://www.lcg.ufrj.br - Laboratory of Computer Graphics - LCG. Graduate Program in Systems Engineering and Computing (PESC). Alberto Luiz Coimbra In- stitute for Graduate Studies and Research in Engineering - COPPE. Federal University of Rio de Janeiro (UFRJ - http://www.ufrj.br), Brazil - Rio de Janeiro/RJ, Phone: (21) 8204-7102. 1
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