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ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
Published on: August 19, 2021
Lattice algebra approach to multispectral analysis of ancient documents
Juan C Valdiviezo-N1, Gonzalo Urcid
1División de Ingenierías, Universidad Politécnica de Tulancingo, Tulancingo, Hidalgo, Mexico. carlos.valdiviezo@upt.edu.mx
Abstract:
This paper introduces a lattice algebra procedure that can be used for the multispectral analysis of historical documents and artworks. Assuming the presence of linearly mixed spectral pixels captured in a multispectral scene, the proposed method computes the scaled min- and max-lattice associative memories to determine the purest pixels that best represent the spectra of single pigments. The estimation of fractional proportions of pure spectra at each image pixel is used to build pigment abundance maps that can be used for subsequent restoration of damaged parts. Application examples include multispectral images acquired from the Archimedes Palimpsest and a Mexican pre-Hispanic codex.
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