Optimized clustering method for spectral reflectance recovery

An optimized method based on dynamic partitional clustering was proposed for the recovery of spectral reflectance from camera response values. The proposed method produced dynamic clustering subspaces using a combination of dynamic and static clustering, which determined each testing sample as clust...

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Bibliographic Details
Published in:Frontiers in psychology 2022-11, Vol.13, p.1051286-1051286
Main Authors: Xiong, Yifan, Wu, Guangyuan, Li, Xiaozhou, Wang, Xin
Format: Article
Language:English
Subjects:
camera responses
color space
dynamic partitional clustering
Psychology
spectral recovery
spectral reflectance
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Summary:An optimized method based on dynamic partitional clustering was proposed for the recovery of spectral reflectance from camera response values. The proposed method produced dynamic clustering subspaces using a combination of dynamic and static clustering, which determined each testing sample as clustering center to obtain the clustering subspace by competition. The Euclidean distance weighted and polynomial expansion models in the clustering subspace were adaptively applied to improve the accuracy of spectral recovery. The experimental results demonstrated that the proposed method outperformed existing methods in spectral and colorimetric accuracy and presented the effectiveness and robustness of spectral recovery accuracy under different color spaces.
ISSN:1664-1078
1664-1078
DOI:10.3389/fpsyg.2022.1051286