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Spatio-Spectral Gamut Mapping and Separation

Samadzadegan, Sepideh ; Urban, Philipp (2015)
Spatio-Spectral Gamut Mapping and Separation.
In: Journal of Imaging Science and Technology, 59 (4)
doi: 10.2352/J.ImagingSci.Technol.2015.59.4.040402
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Spectral printing aims to achieve an illuminant-invariant match between the original and the reproduction. Due to limited printer spectral gamuts, an errorless spectral reproduction is mostly impossible, and spectral gamut mapping is required to reduce perceptual errors. The recently proposed paramer-mismatch-based spectral gamut mapping (PMSGM) strategy minimizes such errors. However, due to its pixel-wise processing, it may result in severely different tonal values for spectrally similar adjacent pixels, causing unwanted edges (banding) in the final printout. While the addition of some noise to the a* and b* channels of the colorimetric (e.g., CIELAB) image-rendered for the first illuminant-prior to gamut mapping solves the banding problem, it adversely increases the image graininess. In this article, the authors combine the PMSGM strategy with subsequent spectral separation, considering the spatial neighborhood within the tonal-value space and the illuminant-dependent perceptual spaces to directly compute tonal values. Their results show significant improvements to the PMSGM method in terms of avoiding banding artifacts.

Typ des Eintrags: Artikel
Erschienen: 2015
Autor(en): Samadzadegan, Sepideh ; Urban, Philipp
Art des Eintrags: Bibliographie
Titel: Spatio-Spectral Gamut Mapping and Separation
Sprache: Englisch
Publikationsjahr: 2015
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Journal of Imaging Science and Technology
Jahrgang/Volume einer Zeitschrift: 59
(Heft-)Nummer: 4
DOI: 10.2352/J.ImagingSci.Technol.2015.59.4.040402
Kurzbeschreibung (Abstract):

Spectral printing aims to achieve an illuminant-invariant match between the original and the reproduction. Due to limited printer spectral gamuts, an errorless spectral reproduction is mostly impossible, and spectral gamut mapping is required to reduce perceptual errors. The recently proposed paramer-mismatch-based spectral gamut mapping (PMSGM) strategy minimizes such errors. However, due to its pixel-wise processing, it may result in severely different tonal values for spectrally similar adjacent pixels, causing unwanted edges (banding) in the final printout. While the addition of some noise to the a* and b* channels of the colorimetric (e.g., CIELAB) image-rendered for the first illuminant-prior to gamut mapping solves the banding problem, it adversely increases the image graininess. In this article, the authors combine the PMSGM strategy with subsequent spectral separation, considering the spatial neighborhood within the tonal-value space and the illuminant-dependent perceptual spaces to directly compute tonal values. Their results show significant improvements to the PMSGM method in terms of avoiding banding artifacts.

Freie Schlagworte: Business Field: Virtual engineering, Research Area: Computer graphics (CG), Research Area: Modeling (MOD), Gamut mapping, Spectral printing, Multi-illuminant reproduction
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 06 Mai 2019 10:04
Letzte Änderung: 06 Mai 2019 10:04
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