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Point to point multispectral light projection applied to cultural heritage
Author(s) -
Hector A. Canabal,
Santiago Mayorga Pinilla,
Carmen Muro,
Teresa Galán,
Daniel Vázquez,
Ángel Garcı́a-Botella,
Agustín Álvarez-Marquina
Publication year - 2017
Publication title -
eprints complutense repositorio institucional de la ucm (universidad complutense de madrid)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1117/12.2281482
Subject(s) - computer science , multispectral image , exhibition , computer vision , artificial intelligence , process (computing) , projection (relational algebra) , point (geometry) , color constancy , function (biology) , optics , algorithm , mathematics , image (mathematics) , physics , geography , geometry , evolutionary biology , biology , operating system , archaeology
Use of new of light sources based on LED technology should allow the develop of systems that combine conservation and exhibition requirements and allow to make these art goods available to the next generations according to sustainability principles. The goal of this work is to develop light systems and sources with an optimized spectral distribution for each specific point of the art piece. This optimization process implies to maximize the color fidelity reproduction and the same time to minimize the photochemical damage. Perceived color under these sources will be similar (metameric) to technical requirements given by the restoration team uncharged of the conservation and exhibition of the goods of art. Depending of the fragility of the exposed art objects (i.e. spectral responsivity of the material) the irradiance must be kept under a critical level. Therefore, it is necessary to develop a mathematical model that simulates with enough accuracy both the visual effect of the illumination and the photochemical impact of the radiation. Spectral reflectance of a reference painting The mathematical model is based on a merit function that optimized the individual intensity of the LED-light sources taking into account the damage function of the material and color space coordinates. Moreover the algorithm used weights for damage and color fidelity in order to adapt the model to a specific museal application. In this work we show a sample of this technology applied to a picture of Sorolla (1863-1923) an important Spanish painter title “woman walking at the beach”.

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