Liang, J, Xiao, K orcid.org/0000-0001-7197-7159, Pointer, MR et al. (2 more authors) (2019) Spectra estimation from raw camera responses based on adaptive local-weighted linear regression. Optics Express, 27 (4). pp. 5165-5180. ISSN 1094-4087
Abstract
An improved spectral reflectance estimation method is developed to transform raw camera RGB responses to spectral reflectance. The novelty of our method is to apply a local weighted linear regression model for spectral reflectance estimation and construct the weighting matrix using a Gaussian function in CIELAB uniform color space. The proposed method was tested using both a standard color chart and a set of textile samples, with a digital RGB camera and by ten times ten-fold cross-validation. The results demonstrate that our method gives the best accuracy in estimating both the spectral reflectance and the colorimetric values in comparison with existing methods.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Feb 2019 11:44 |
Last Modified: | 25 Jun 2023 21:42 |
Status: | Published |
Publisher: | Optical Society of America |
Identification Number: | 10.1364/OE.27.005165 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:142485 |