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- W2364793059 abstract "A dataset of color spectra can be represented as a linear combination of few principal spectra.The principal components of a spectral dataset are usually generated by the Principal Component Analysis(PCA).The Independent Component Analysis(ICA) has been used to abstract the independent components of the spectral dataset by some researchers in recent years and enables data compression.In this paper,the feature spectra of spectral reflectance of 50 cases Munsell color cards and 50 cases birch leaves are abstracted by ICA and PCA separately.The reflectance of 150 cases Munsell color cards and 150 cases birch leaves are reconstructed with the multi-spectral imaging and the algorithm of spectral reconstruction,and with three sets of filters,each compose of two, three,and four filters,and three to fifteen dimensions subspace.The reconstruction results are evaluated by the CIE1976 color difference and the spectrum reconstruction errors.In the reconstruction of the 150 cases birch leaves,the reconstruction results by ICA are obviously better than that of the PCA;the differences between the results of ICA and PCA are not so significant in the reconstruction of the 150 cases Munsell color cards.Finally,according to the results of reconstruction,the relationship between the subspace dimensions,the number of filters and the reconstruction color differences,spectral error are analyzed in this paper." @default.
- W2364793059 created "2016-06-24" @default.
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- W2364793059 date "2007-01-01" @default.
- W2364793059 modified "2023-09-25" @default.
- W2364793059 title "Comparison of ICA and PCA in Spectrum Reconstuction" @default.
- W2364793059 hasPublicationYear "2007" @default.
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