Literature DB >> 31052978

Multifocus HDR VIS/NIR hyperspectral imaging and its application to works of art.

Miguel Á Martínez, Eva M Valero, Juan L Nieves, Rosario Blanc, Eloísa Manzano, José L Vílchez.   

Abstract

This paper presents a complete framework for capturing and processing hyperspectral reflectance images of artworks in situ, using a hyperspectral line scanner. These capturing systems are commonly used in laboratory conditions synchronized with scanning stages specifically designed for planar surfaces. However, when the intended application domain does not allow for image capture in these controlled conditions, achieving useful spectral reflectance image data can be a very challenging task (due to uncontrolled illumination, high-dynamic range (HDR) conditions in the scene, and the influence of chromatic aberration on the image quality, among other factors). We show, for the first time, all the necessary steps in the image capturing and post-processing in order to obtain high-quality HDR-based reflectance in the visible and near infrared, directly from the data captured by using a hyperspectral line scanner coupled to a rotating tripod. Our results show that the proposed method outperforms the normal capturing process in terms of dynamic range, color and spectral accuracy. To demonstrate the potential interest of this processing strategy for on-site analysis of artworks, we applied it to the study of a vintage copy of the famous painting "Transfiguration" by Raphael, as well as a facsimile of "The Golden Haggadah" from the British Library of London. The second piece has been studied for the identification of highly reflective gold-foil covered areas.

Year:  2019        PMID: 31052978     DOI: 10.1364/OE.27.011323

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  1 in total

1.  Measuring High Dynamic Range Spectral Reflectance of Artworks through an Image Capture Matrix Hyperspectral Camera.

Authors:  Ángela Gómez Manzanares; Daniel Vázquez Moliní; Antonio Alvarez Fernandez-Balbuena; Santiago Mayorga Pinilla; Juan Carlos Martínez Antón
Journal:  Sensors (Basel)       Date:  2022-06-21       Impact factor: 3.847

  1 in total

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