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      Spectral Image Processing for Museum Lighting Using CIE LED Illuminants

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          Abstract

          This work presents a spectral color-imaging procedure for the detailed colorimetric study of real artworks under arbitrary illuminants. The results demonstrate this approach to be a powerful tool for art and heritage professionals when deciding which illumination to use in museums, or which conservation or restoration techniques best maintain the color appearance of the original piece under any illuminant. Spectral imaging technology overcomes the limitations of common area-based point-measurement devices such as spectrophotometers, allowing a local study either pixelwise or by selected areas. To our knowledge, this is the first study available that uses the proposed CIE (Commission Internationale de l’Éclairage) light-emitting diode (LED) illuminants in the context of art and heritage science, comparing them with the three main CIE illuminants A, D50, and D65. For this, the corresponding colors under D65 have been calculated using a chromatic adaptation transform analogous to the one in CIECAM02. For the sample studied, the CIE LED illuminants with the lowest average CIEDE2000 color differences from the standard CIE illuminants are LED-V1 for A and LED-V2 for D50 and D65, with 1.23, 1.07, and 1.57 units, respectively. The work studied is a Moorish epigraphic frieze of plasterwork with a tiled skirting from the Nasrid period (12th–15th centuries) exhibited in the Museum of the Alhambra (Granada, Spain).

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          Hyperspectral Imaging Applications in Agriculture and Agro-Food Product Quality and Safety Control: A Review

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            Statistics of spatial cone-excitation ratios in natural scenes.

            For some sets of surfaces, the spatial ratios of cone-photoreceptor excitations produced by light reflected from pairs of surfaces are almost invariant under illuminant changes. These sets include large populations of spectral reflectances, some of which represent individual natural surfaces but not their relative abundances in nature. The aim of this study was to determine whether spatial cone-excitation ratios are preserved under illuminant changes within the natural visual environment. A fast hyperspectral imaging system was used to obtain populations of 640,000 reflectance spectra from each of 30 natural scenes. The statistics of spatial cone-excitation ratios for randomly selected pairs of points in these scenes were determined for two extreme daylights. Almost-invariant ratios were common, suggesting that they represent a reliable property of the natural visual environment and a suitable foundation for visual color constancy.
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              A top down description of S-CIELAB and CIEDE2000

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                07 December 2019
                December 2019
                : 19
                : 24
                : 5400
                Affiliations
                [1 ]Department of Optics, University of Granada, 18071 Granada, Spain; mmelgosa@ 123456ugr.es
                [2 ]Faculty of Environment and Information Sciences, Yokohama National University, Kanagawa 240-8501, Japan; okajima@ 123456ynu.ac.jp
                [3 ]Department of Painting, University of Granada, 18071 Granada, Spain; vmedina@ 123456ugr.es (V.J.M.); fcollado@ 123456ugr.es (F.J.C.-M.)
                Author notes
                [* ]Correspondence: martinezm@ 123456ugr.es
                Author information
                https://orcid.org/0000-0003-3534-6733
                https://orcid.org/0000-0002-7226-4190
                https://orcid.org/0000-0001-7714-2187
                Article
                sensors-19-05400
                10.3390/s19245400
                6960837
                31817910
                6b122c39-ae5e-461f-97e1-3b1876e85a85
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 04 November 2019
                : 05 December 2019
                Categories
                Article

                Biomedical engineering
                spectral imaging,colorimetry,hyperspectral line scanner,cie illuminants,ciede2000

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