Fully Constrained Least Squares Linear Spectral Unmixing of the Scream (Verso, 1893)

Hilda Deborah; Magnus Orn Ulfarsson; Jakob Sigurdsson

doi:10.1109/whispers52202.2021.9484037

Fully Constrained Least Squares Linear Spectral Unmixing of the Scream (Verso, 1893)

Hilda Deborah, Magnus Orn Ulfarsson, Jakob Sigurdsson

Faculty of Electrical and Computer Engineering

University of Iceland

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Taking insights from the remote sensing field, in the recent decade, the advantages of hyperspectral imaging technology has been exploited for painting conservation. The estimation of pigment proportion in painting is a challenge that is due to the highly mixed nature of the paint layers, usually requiring to take into account the law of mixing colorants in turbid media. Having knowledge of some pigments and paint layers of the reverse side of The Scream (1893), in this study, we are exploring the feasibility of using a more simple linear model for its unmixing. The obtained results are promising, despite the simplicity of the mathematical model.

Original language	English
Title of host publication	2021 11th Workshop on Hyperspectral Imaging and Signal Processing
Subtitle of host publication	Evolution in Remote Sensing, WHISPERS 2021
Publisher	IEEE Computer Society
Volume	11
ISBN (Electronic)	9781665436014
DOIs	https://doi.org/10.1109/whispers52202.2021.9484037
Publication status	Published - 24 Mar 2021
Event	11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2021 - Amsterdam, Netherlands Duration: 24 Mar 2021 → 26 Mar 2021

Publication series

Name	2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)

Conference

Conference	11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2021
Country/Territory	Netherlands
City	Amsterdam
Period	24/03/21 → 26/03/21

Bibliographical note

Funding Information: This work is supported by FRIPRO FRINATEK Metrological texture analysis for hyperspectral images (projectnr. 274881) funded by the Research Council of Norway. Publisher Copyright: © 2021 IEEE.

Other keywords

cultural heritage application
fully constrained least squares
hyperspectral images
spectral unmixing

Access to Document

10.1109/whispers52202.2021.9484037

Cite this

Deborah, H., Ulfarsson, M. O., & Sigurdsson, J. (2021). Fully Constrained Least Squares Linear Spectral Unmixing of the Scream (Verso, 1893). In 2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2021 (Vol. 11). Article 9484037 (2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)). IEEE Computer Society. https://doi.org/10.1109/whispers52202.2021.9484037

Deborah, Hilda ; Ulfarsson, Magnus Orn ; Sigurdsson, Jakob. / Fully Constrained Least Squares Linear Spectral Unmixing of the Scream (Verso, 1893). 2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2021. Vol. 11 IEEE Computer Society, 2021. (2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)).

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abstract = "Taking insights from the remote sensing field, in the recent decade, the advantages of hyperspectral imaging technology has been exploited for painting conservation. The estimation of pigment proportion in painting is a challenge that is due to the highly mixed nature of the paint layers, usually requiring to take into account the law of mixing colorants in turbid media. Having knowledge of some pigments and paint layers of the reverse side of The Scream (1893), in this study, we are exploring the feasibility of using a more simple linear model for its unmixing. The obtained results are promising, despite the simplicity of the mathematical model. ",

keywords = "cultural heritage application, fully constrained least squares, hyperspectral images, spectral unmixing",

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note = "Funding Information: This work is supported by FRIPRO FRINATEK Metrological texture analysis for hyperspectral images (projectnr. 274881) funded by the Research Council of Norway. Publisher Copyright: {\textcopyright} 2021 IEEE.; 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2021 ; Conference date: 24-03-2021 Through 26-03-2021",

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Deborah, H, Ulfarsson, MO & Sigurdsson, J 2021, Fully Constrained Least Squares Linear Spectral Unmixing of the Scream (Verso, 1893). in 2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2021. vol. 11, 9484037, 2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), IEEE Computer Society, 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2021, Amsterdam, Netherlands, 24/03/21. https://doi.org/10.1109/whispers52202.2021.9484037

Fully Constrained Least Squares Linear Spectral Unmixing of the Scream (Verso, 1893). / Deborah, Hilda; Ulfarsson, Magnus Orn ; Sigurdsson, Jakob.
2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2021. Vol. 11 IEEE Computer Society, 2021. 9484037 (2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Deborah H, Ulfarsson MO , Sigurdsson J. Fully Constrained Least Squares Linear Spectral Unmixing of the Scream (Verso, 1893). In 2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2021. Vol. 11. IEEE Computer Society. 2021. 9484037. (2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)). doi: 10.1109/whispers52202.2021.9484037

Fully Constrained Least Squares Linear Spectral Unmixing of the Scream (Verso, 1893)

Abstract

Publication series

Conference

Bibliographical note

Other keywords

Access to Document

Fingerprint

Cite this