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Spectral Reflectance Estimation from Camera Responses Using Local Optimal Dataset
A novel method is proposed to estimate surface-spectral reflectance from camera responses using a local optimal reflectance dataset. We adopt a multispectral imaging system that involves an RGB camera capturing multiple images under multiple light sources. A spectral reflectance database is utilized...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960256/ https://www.ncbi.nlm.nih.gov/pubmed/36826966 http://dx.doi.org/10.3390/jimaging9020047 |
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author | Tominaga, Shoji Sakai, Hideaki |
author_facet | Tominaga, Shoji Sakai, Hideaki |
author_sort | Tominaga, Shoji |
collection | PubMed |
description | A novel method is proposed to estimate surface-spectral reflectance from camera responses using a local optimal reflectance dataset. We adopt a multispectral imaging system that involves an RGB camera capturing multiple images under multiple light sources. A spectral reflectance database is utilized to locally determine the candidates to optimally estimate the spectral reflectance. The proposed estimation method comprises two stages: (1) selecting the local optimal reflectance dataset and (2) determining the best estimate using only the local optimal dataset. In (1), the camera responses are predicted for the respective reflectances in the database, and then the prediction errors are calculated to select the local optimal dataset. In (2), multiple methods are used; in particular, the Wiener and linear minimum mean square error estimators are used to calculate all statistics, based only on the local optimal dataset, and linear and quadratic programming methods are used to solve optimization problems with constraints. Experimental results using different mobile phone cameras show that the estimation accuracy has improved drastically. A much smaller local optimal dataset among spectral reflectance databases is enough to obtain the optimal estimates. The method has potential applications including fields of color science, image science and technology, computer vision, and graphics. |
format | Online Article Text |
id | pubmed-9960256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99602562023-02-26 Spectral Reflectance Estimation from Camera Responses Using Local Optimal Dataset Tominaga, Shoji Sakai, Hideaki J Imaging Article A novel method is proposed to estimate surface-spectral reflectance from camera responses using a local optimal reflectance dataset. We adopt a multispectral imaging system that involves an RGB camera capturing multiple images under multiple light sources. A spectral reflectance database is utilized to locally determine the candidates to optimally estimate the spectral reflectance. The proposed estimation method comprises two stages: (1) selecting the local optimal reflectance dataset and (2) determining the best estimate using only the local optimal dataset. In (1), the camera responses are predicted for the respective reflectances in the database, and then the prediction errors are calculated to select the local optimal dataset. In (2), multiple methods are used; in particular, the Wiener and linear minimum mean square error estimators are used to calculate all statistics, based only on the local optimal dataset, and linear and quadratic programming methods are used to solve optimization problems with constraints. Experimental results using different mobile phone cameras show that the estimation accuracy has improved drastically. A much smaller local optimal dataset among spectral reflectance databases is enough to obtain the optimal estimates. The method has potential applications including fields of color science, image science and technology, computer vision, and graphics. MDPI 2023-02-17 /pmc/articles/PMC9960256/ /pubmed/36826966 http://dx.doi.org/10.3390/jimaging9020047 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tominaga, Shoji Sakai, Hideaki Spectral Reflectance Estimation from Camera Responses Using Local Optimal Dataset |
title | Spectral Reflectance Estimation from Camera Responses Using Local Optimal Dataset |
title_full | Spectral Reflectance Estimation from Camera Responses Using Local Optimal Dataset |
title_fullStr | Spectral Reflectance Estimation from Camera Responses Using Local Optimal Dataset |
title_full_unstemmed | Spectral Reflectance Estimation from Camera Responses Using Local Optimal Dataset |
title_short | Spectral Reflectance Estimation from Camera Responses Using Local Optimal Dataset |
title_sort | spectral reflectance estimation from camera responses using local optimal dataset |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960256/ https://www.ncbi.nlm.nih.gov/pubmed/36826966 http://dx.doi.org/10.3390/jimaging9020047 |
work_keys_str_mv | AT tominagashoji spectralreflectanceestimationfromcameraresponsesusinglocaloptimaldataset AT sakaihideaki spectralreflectanceestimationfromcameraresponsesusinglocaloptimaldataset |