Spectral imaging: Difference between revisions

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There is another technique, much more efficient and based on multibandpass filters, which allows obtaining a number of final bands starting from a limited number of images. The taken images build a mathematical base with enough informative information to reconstruct data for each pixel with a high spectral resolution. This is the approach followed by the Hypercolorimetric Multispectral Imaging <ref>{{Cite journal|last=Colantonio|first=C.|last2=Pelosi|first2=C.|last3=D’Alessandro|first3=L.|last4=Sottile|first4=S.|last5=Calabrò|first5=G.|last6=Melis|first6=M.|date=2018-12-19|title=Hypercolorimetric multispectral imaging system for cultural heritage diagnostics: an innovative study for copper painting examination|url=https://doi.org/10.1140/epjp/i2018-12370-9|journal=The European Physical Journal Plus|language=en|volume=133|issue=12|pages=526|doi=10.1140/epjp/i2018-12370-9|issn=2190-5444}}</ref>(HMI) of Profilocolore<ref>{{Cite web|title=Spectral Imaging Systems {{!}} Profilocolore {{!}} Beyond the natural vision|url=https://www.profilocolore.com/|access-date=2021-08-06|website=Profilocolore|language=en-US}}</ref> SRL.
==References==
{{reflist}}
 
[[Category:Astronomical spectroscopy]]
 
 
{{PhysicsSpectroscopy-stub}}