This research introduces an automatic technique designed for the digital restoration of the damaged parts in historical documents. For this purpose an imaging spectrometer is used to acquire a set of images in the wavelength interval from 400 to 1000 nm. Assuming the presence of linearly mixed spectral pixels registered from the multispectral image, our technique uses two lattice autoassociative memories to extract the set of pure pigments conforming a given document. Through an spectral unmixing analysis, our method produces fractional abundance maps indicating the distributions of each pigment in the scene. These maps are then used to locate cracks and holes in the document under study. The restoration process is performed by the application of a region filling algorithm, based on morphological dilation, followed by a color interpolation to restore the original appearance of the filled areas. This procedure has been successfully applied to the analysis and restoration of three multispectral data sets: two corresponding to artificially superimposed scripts and a real data acquired from a Mexican pre-Hispanic codex, whose restoration results are presented.
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Edwin Lechuga-S. ; Juan C. Valdiviezo-N. and Gonzalo Urcid
Multispectral image restoration of historical documents based on LAAMs and mathematical morphology
", Proc. SPIE 9216, Optics and Photonics for Information Processing VIII, 921604 (September 19, 2014); doi:10.1117/12.2061479; http://dx.doi.org/10.1117/12.2061479