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- W2274904913 abstract "The use of wavelength spectrum to represent color in color processing has recently seen an increase in popularity in color and color image analysis. This is partly due to the need for more accurate color information, the development of spectral imaging technologies, and the availability of efficient spectral processing techniques. The need for accurate color information processing arises in a variety of industries. Using color spectrum also gives new possibilities, for example in medical diagnostics. The principal component analysis (PCA) has become a standard method in spectral color compression and spectrum reconstruction. Varieties of PCA and other similar expansions like independent component analysis (ICA) have also been studied in spectral color science. In this chapter, we give a short overview to the development of the PCA in spectral color science, introduce the use of PCA and ICA, and list some of the applications, where PCA has been utilized in the field of spectral color science." @default.
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- W2274904913 date "2015-01-01" @default.
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- W2274904913 title "Subspace approach in spectral color science" @default.
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- W2274904913 doi "https://doi.org/10.1016/b978-0-12-802806-3.00010-5" @default.
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