Automatic pigment identification on roman Egyptian paintings by using sparse modeling of hyperspectral images. Rohani, N., Salvant, J., Bahaadini, S., Cossairt, O., Walton, M., & Katsaggelos, A. In 2016 24th European Signal Processing Conference (EUSIPCO), pages 2111-2115, Aug, 2016.
![Automatic pigment identification on roman Egyptian paintings by using sparse modeling of hyperspectral images [pdf]](https://bibbase.org/img/filetypes/pdf.svg "pdf")
Paper doi abstract bibtex
Paper doi abstract bibtex In this paper, we study the problem of automatic identification of pigments applied to paintings using hyperspectral reflectance data. Here, we cast the problem of pigment identification in a novel way by decomposing the spectrum into pure pigments. The pure pigment exemplars, chosen and prepared in our laboratory based on historic sources and archaeological examples, closely resemble the materials used to make ancient paintings. To validate our algorithm, we created a set of mock-up paintings in our laboratory consisting of a broad palette of mixtures of pure pigments. Our results clearly demonstrate more accurate estimation of pigment composition than purely distance-based methods such as spectral angle mapping (SAM) and spectral correlation mapping (SCM). In addition, we studied hyperspectral imagery acquired of a Roman-Egyptian portrait, excavated from the site of Tebtunis in the Fayum region of Egypt, and dated to about the 2nd century CE. Using ground truth information obtained using Raman spectroscopy, we show qualitatively that our method accurately detects pigment composition for the specific pigments hematite and indigo.
@InProceedings{7760621,
author = {N. Rohani and J. Salvant and S. Bahaadini and O. Cossairt and M. Walton and A. Katsaggelos},
booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)},
title = {Automatic pigment identification on roman Egyptian paintings by using sparse modeling of hyperspectral images},
year = {2016},
pages = {2111-2115},
abstract = {In this paper, we study the problem of automatic identification of pigments applied to paintings using hyperspectral reflectance data. Here, we cast the problem of pigment identification in a novel way by decomposing the spectrum into pure pigments. The pure pigment exemplars, chosen and prepared in our laboratory based on historic sources and archaeological examples, closely resemble the materials used to make ancient paintings. To validate our algorithm, we created a set of mock-up paintings in our laboratory consisting of a broad palette of mixtures of pure pigments. Our results clearly demonstrate more accurate estimation of pigment composition than purely distance-based methods such as spectral angle mapping (SAM) and spectral correlation mapping (SCM). In addition, we studied hyperspectral imagery acquired of a Roman-Egyptian portrait, excavated from the site of Tebtunis in the Fayum region of Egypt, and dated to about the 2nd century CE. Using ground truth information obtained using Raman spectroscopy, we show qualitatively that our method accurately detects pigment composition for the specific pigments hematite and indigo.},
keywords = {archaeology;art;correlation methods;history;hyperspectral imaging;image processing;painting;pigments;Raman spectroscopy;reflectivity;spectral analysis;automatic pigment identification;Roman Egyptian paintings;sparse modeling;hyperspectral images;hyperspectral reflectance data;spectrum decomposition;pure pigment exemplars;historic sources;archaeological examples;ancient paintings;pigment composition estimation;spectral angle mapping;SAM;spectral correlation mapping;SCM;Roman-Egyptian portrait;Tebtunis;Fayum region;Raman spectroscopy;hematite pigment;indigo pigment;Pigments;Dictionaries;Painting;Libraries;Hyperspectral imaging;Image color analysis;Signal processing algorithms},
doi = {10.1109/EUSIPCO.2016.7760621},
issn = {2076-1465},
month = {Aug},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570252378.pdf},
}Downloads: 0
{"_id":"xDGWbfeaTRmhRBZgA","bibbaseid":"rohani-salvant-bahaadini-cossairt-walton-katsaggelos-automaticpigmentidentificationonromanegyptianpaintingsbyusingsparsemodelingofhyperspectralimages-2016","authorIDs":[],"author_short":["Rohani, N.","Salvant, J.","Bahaadini, S.","Cossairt, O.","Walton, M.","Katsaggelos, A."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["N."],"propositions":[],"lastnames":["Rohani"],"suffixes":[]},{"firstnames":["J."],"propositions":[],"lastnames":["Salvant"],"suffixes":[]},{"firstnames":["S."],"propositions":[],"lastnames":["Bahaadini"],"suffixes":[]},{"firstnames":["O."],"propositions":[],"lastnames":["Cossairt"],"suffixes":[]},{"firstnames":["M."],"propositions":[],"lastnames":["Walton"],"suffixes":[]},{"firstnames":["A."],"propositions":[],"lastnames":["Katsaggelos"],"suffixes":[]}],"booktitle":"2016 24th European Signal Processing Conference (EUSIPCO)","title":"Automatic pigment identification on roman Egyptian paintings by using sparse modeling of hyperspectral images","year":"2016","pages":"2111-2115","abstract":"In this paper, we study the problem of automatic identification of pigments applied to paintings using hyperspectral reflectance data. Here, we cast the problem of pigment identification in a novel way by decomposing the spectrum into pure pigments. The pure pigment exemplars, chosen and prepared in our laboratory based on historic sources and archaeological examples, closely resemble the materials used to make ancient paintings. To validate our algorithm, we created a set of mock-up paintings in our laboratory consisting of a broad palette of mixtures of pure pigments. Our results clearly demonstrate more accurate estimation of pigment composition than purely distance-based methods such as spectral angle mapping (SAM) and spectral correlation mapping (SCM). In addition, we studied hyperspectral imagery acquired of a Roman-Egyptian portrait, excavated from the site of Tebtunis in the Fayum region of Egypt, and dated to about the 2nd century CE. Using ground truth information obtained using Raman spectroscopy, we show qualitatively that our method accurately detects pigment composition for the specific pigments hematite and indigo.","keywords":"archaeology;art;correlation methods;history;hyperspectral imaging;image processing;painting;pigments;Raman spectroscopy;reflectivity;spectral analysis;automatic pigment identification;Roman Egyptian paintings;sparse modeling;hyperspectral images;hyperspectral reflectance data;spectrum decomposition;pure pigment exemplars;historic sources;archaeological examples;ancient paintings;pigment composition estimation;spectral angle mapping;SAM;spectral correlation mapping;SCM;Roman-Egyptian portrait;Tebtunis;Fayum region;Raman spectroscopy;hematite pigment;indigo pigment;Pigments;Dictionaries;Painting;Libraries;Hyperspectral imaging;Image color analysis;Signal processing algorithms","doi":"10.1109/EUSIPCO.2016.7760621","issn":"2076-1465","month":"Aug","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570252378.pdf","bibtex":"@InProceedings{7760621,\n author = {N. Rohani and J. Salvant and S. Bahaadini and O. Cossairt and M. Walton and A. Katsaggelos},\n booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)},\n title = {Automatic pigment identification on roman Egyptian paintings by using sparse modeling of hyperspectral images},\n year = {2016},\n pages = {2111-2115},\n abstract = {In this paper, we study the problem of automatic identification of pigments applied to paintings using hyperspectral reflectance data. Here, we cast the problem of pigment identification in a novel way by decomposing the spectrum into pure pigments. The pure pigment exemplars, chosen and prepared in our laboratory based on historic sources and archaeological examples, closely resemble the materials used to make ancient paintings. To validate our algorithm, we created a set of mock-up paintings in our laboratory consisting of a broad palette of mixtures of pure pigments. Our results clearly demonstrate more accurate estimation of pigment composition than purely distance-based methods such as spectral angle mapping (SAM) and spectral correlation mapping (SCM). In addition, we studied hyperspectral imagery acquired of a Roman-Egyptian portrait, excavated from the site of Tebtunis in the Fayum region of Egypt, and dated to about the 2nd century CE. Using ground truth information obtained using Raman spectroscopy, we show qualitatively that our method accurately detects pigment composition for the specific pigments hematite and indigo.},\n keywords = {archaeology;art;correlation methods;history;hyperspectral imaging;image processing;painting;pigments;Raman spectroscopy;reflectivity;spectral analysis;automatic pigment identification;Roman Egyptian paintings;sparse modeling;hyperspectral images;hyperspectral reflectance data;spectrum decomposition;pure pigment exemplars;historic sources;archaeological examples;ancient paintings;pigment composition estimation;spectral angle mapping;SAM;spectral correlation mapping;SCM;Roman-Egyptian portrait;Tebtunis;Fayum region;Raman spectroscopy;hematite pigment;indigo pigment;Pigments;Dictionaries;Painting;Libraries;Hyperspectral imaging;Image color analysis;Signal processing algorithms},\n doi = {10.1109/EUSIPCO.2016.7760621},\n issn = {2076-1465},\n month = {Aug},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570252378.pdf},\n}\n\n","author_short":["Rohani, N.","Salvant, J.","Bahaadini, S.","Cossairt, O.","Walton, M.","Katsaggelos, A."],"key":"7760621","id":"7760621","bibbaseid":"rohani-salvant-bahaadini-cossairt-walton-katsaggelos-automaticpigmentidentificationonromanegyptianpaintingsbyusingsparsemodelingofhyperspectralimages-2016","role":"author","urls":{"Paper":"https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570252378.pdf"},"keyword":["archaeology;art;correlation methods;history;hyperspectral imaging;image processing;painting;pigments;Raman spectroscopy;reflectivity;spectral analysis;automatic pigment identification;Roman Egyptian paintings;sparse modeling;hyperspectral images;hyperspectral reflectance data;spectrum decomposition;pure pigment exemplars;historic sources;archaeological examples;ancient paintings;pigment composition estimation;spectral angle mapping;SAM;spectral correlation mapping;SCM;Roman-Egyptian portrait;Tebtunis;Fayum region;Raman spectroscopy;hematite pigment;indigo pigment;Pigments;Dictionaries;Painting;Libraries;Hyperspectral imaging;Image color analysis;Signal processing algorithms"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/Roznn/EUSIPCO/main/eusipco2016url.bib","creationDate":"2021-02-13T17:31:52.169Z","downloads":0,"keywords":["archaeology;art;correlation methods;history;hyperspectral imaging;image processing;painting;pigments;raman spectroscopy;reflectivity;spectral analysis;automatic pigment identification;roman egyptian paintings;sparse modeling;hyperspectral images;hyperspectral reflectance data;spectrum decomposition;pure pigment exemplars;historic sources;archaeological examples;ancient paintings;pigment composition estimation;spectral angle mapping;sam;spectral correlation mapping;scm;roman-egyptian portrait;tebtunis;fayum region;raman spectroscopy;hematite pigment;indigo pigment;pigments;dictionaries;painting;libraries;hyperspectral imaging;image color analysis;signal processing algorithms"],"search_terms":["automatic","pigment","identification","roman","egyptian","paintings","using","sparse","modeling","hyperspectral","images","rohani","salvant","bahaadini","cossairt","walton","katsaggelos"],"title":"Automatic pigment identification on roman Egyptian paintings by using sparse modeling of hyperspectral images","year":2016,"dataSources":["koSYCfyY2oQJhf2Tc","JiQJrC76kvCnC3mZd","AKozWMfNreYTpJHSd","ya2CyA73rpZseyrZ8","KTWAakbPXLGfYseXn","ePKPjG8C6yvpk4mEK","D8k2SxfC5dKNRFgro","7Dwzbxq93HWrJEhT6","qhF8zxmGcJfvtdeAg","fvDEHD49E2ZRwE3fb","H7crv8NWhZup4d4by","DHqokWsryttGh7pJE","vRJd4wNg9HpoZSMHD","sYxQ6pxFgA59JRhxi","w2WahSbYrbcCKBDsC","XasdXLL99y5rygCmq","3gkSihZQRfAD2KBo3","t5XMbyZbtPBo4wBGS","bEpHM2CtrwW2qE8FP","teJzFLHexaz5AQW5z"]}