Liang, J, Zhu, Q, Liu, Q et al. (1 more author) (2022) Optimal selection of representative samples for efficient digital camera‐based spectra recovery. Color Research & Application, 47 (1). pp. 107-120. ISSN 0361-2317
Abstract
For digital camera-based spectra recovery, the spectral reflectance of the object being imaged always needs to be accurately recovered using training samples from available database. Considering the heavy workload when using all samples in database as training samples in practice, a new representative samples selection method is proposed for efficient digital camera-based spectra recovery based on single RGB image. The representative simulation system is firstly constructed through correlation analysis of spectra recovery results of different systems, and based on the representative simulation system, a few number of representative samples are selected from the database based on minimum of the defined simulate spectra recovery error. The effectiveness of the proposed method is evaluated and compared with existing method. As the results show, the proposed method outperforms the existing methods, and the robustness of the selected representative samples is consistent with the database in practical applications.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Wiley Periodicals LLC. This is the peer reviewed version of the following article: Liang, J, Zhu, Q, Liu, Q et al. (1 more author) (2022) Optimal selection of representative samples for efficient digital camera‐based spectra recovery. Color Research & Application, 47 (1). pp. 107-120. ISSN 0361-2317, which has been published in final form at https://doi.org/10.1002/col.22718. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | digital camera; multispectral imaging; representative samples selection; spectra recovery |
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: | 11 Aug 2021 11:21 |
Last Modified: | 04 Aug 2022 00:14 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/col.22718 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:176915 |