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Spatio-Spectral Gamut Mapping and Separation

Samadzadegan, Sepideh and Urban, Philipp (2015):
Spatio-Spectral Gamut Mapping and Separation.
59, In: Journal of Imaging Science and Technology, (4), pp. 40402-1-40402-12, DOI: 10.2352/J.ImagingSci.Technol.2015.59.4.040402,
[Article]

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.

Item Type: Article
Erschienen: 2015
Creators: Samadzadegan, Sepideh and Urban, Philipp
Title: Spatio-Spectral Gamut Mapping and Separation
Language: English
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.

Journal or Publication Title: Journal of Imaging Science and Technology
Volume: 59
Number: 4
Uncontrolled Keywords: Business Field: Virtual engineering, Research Area: Computer graphics (CG), Research Area: Modeling (MOD), Gamut mapping, Spectral printing, Multi-illuminant reproduction
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 06 May 2019 10:04
DOI: 10.2352/J.ImagingSci.Technol.2015.59.4.040402
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