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Papers Presented at the 12th China Academic Conference on Printing and Packaging 2021
Volume: 66 | Article ID: 020403
Research on Adaptive Component Analysis Method of Spectral Reflectance Reconstruction
  DOI :  10.2352/J.ImagingSci.Technol.2022.66.2.020403  Published OnlineMarch 2022

Spectral reflectance reconstruction is the key technology of multi-spectral color reproduction, and it solves the exact color information restoring of original scene to provide color information support for high-fidelity reproduction. The current mainstream principal component analysis method is suitable for information reconstruction of simple objects and smooth objects, and the independent component analysis method is adaptive for color main component extraction of complex objects or scenes. Integrating the advantages of these two methods and imported blind source signal estimation theory, this study highlights the adaptive component analysis method for spectral reflectance reconstruction. Firstly it clarified the reconstruction principle and method of adaptive component analysis methods, and then it carried on the spectral reflectance reconstruction test by selecting the typical color lumps of Finland University “AOTF Munsell Color Matt” spectrum dataset. The results showed the reconstruction precision was higher and the spectral matching skewness index was very small (less than 0.020 basic), besides the reconstruction efficiency was higher and the method adaptability was stronger. Moreover, this study provided a new theoretical interpretation for Color Constancy Theory of human vision.

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  Cite this article 

Haiwen Wang, Jie Li, Xiaoxia Wan, Ling Lu, "Research on Adaptive Component Analysis Method of Spectral Reflectance Reconstructionin Journal of Imaging Science and Technology,  2022,  pp 020403-1 - 020403-5,

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Copyright © Society for Imaging Science and Technology 2022
  Article timeline 
  • received June 2021
  • accepted September 2021
  • PublishedMarch 2022

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