Post-Processing of VIS, NIR, and SWIR Multispectral Images of Paintings. New Discovery on the The Drunkenness of Noah, Painted by Andrea Sacchi, Stored at Palazzo Chigi (Ariccia, Rome)

Pronti, Lucilla; Romani, Martina; Verona-Rinati, G.; Tarquini, Ombretta; Colao, F.; Colapietro, Marcello; Pifferi, Augusto; Guidi, M. Cestelli; Marinelli, M.

doi:10.3390/heritage2030139

Cited by 26 publications

(23 citation statements)

References 29 publications

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“…VIS photos show possible superficial damage and suggest the colours used by the artist, which may have changed with age or restoration 61 . IR imaging shows background layers; such as underlying sketches, drawings and corrections by the artist 62 , 63 . UV imaging shows deeper damage and compounds that fluoresce when excited with UV radiation, like certain pigments, binders and glues 63 , 64 .…”

Section: Materials and Experimentalmentioning

confidence: 99%

Revealing time’s secrets at the National Theatre of Costa Rica via innovative software for cultural heritage research

Barrantes-Madrigal

Zúñiga-Salas

Arce-Tucker

et al. 2021

Sci Rep

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Establishing affordable, efficient, accessible, innovative, and multidisciplinary methodologies to the diagnosis of the conservation state of an artwork is key to carry out appropriate strategies of conservation and consequently to the creation of modern public policies on cultural heritage. Limited access to large-format paintings is a challenge to restoration scientists seeking to obtain information quickly, in a non-destructive and non-invasive manner, and identify regions of interest. Therefore, we put forward two unique software tools based on multispectral imaging techniques, with the long-term aim to assess the artist’s intentions, creative process, and colour palette. This development paves the way for a comprehensive and multidisciplinary understanding of the mysteries encompassed in each pictorial layer, through the study of their physical and chemical characteristics. We conducted the first ever study on Musas I and Musas II, two large-format paintings by Italian artist Carlo Ferrario, located in the National Theatre of Costa Rica. In this study, we used our novel imaging techniques to choose regions of interest in order to study sample layers; while also assessing the works’ state of conservation and possible biodeterioration. We explored the applications of our two versatile software tools, RegionOfInterest and CrystalDistribution, and confirmed paint stratigraphies by means of microscopy and spectroscopy analyses (OM, SEM-EDX, Fluorescent microscopy, FTIR-ATR and micro-Raman). In a pilot study, we identified the artist’s main colour palette: zinc white, lead white, chrome yellow, lead read, viridian, along with artificial vermilion and ultramarine pigments. We were able to identify artificial vermilion and ultramarine and distinguish them from the natural pigments using CrystalDistribution to map the average size and diameter of the pigment crystals within the paint layers. This study demonstrated that software-based multidisciplinary imaging techniques are novel in establishing preventive and non-invasive methods for historical painting conservation studies, in addition, this study provides tools with great potential to be used in the future in applications such as virtual restoration.

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Section: Materials and Experimentalmentioning

confidence: 99%

Revealing time’s secrets at the National Theatre of Costa Rica via innovative software for cultural heritage research

Barrantes-Madrigal

Zúñiga-Salas

Arce-Tucker

et al. 2021

Sci Rep

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“…Recently, the use of commercial digital cameras employing CCD (charge-coupled device) and CMOS sensors, modified for near-infrared or full-spectrum acquisition (combined with external NIR filters) has been commonized in heritage science. They consist of lower cost, high-resolution alternatives with spectral imaging capabilities, which retain user-friendly features and interfaces to a broad variety of photographic accessories and software [18][19][20][21][22].…”

Section: Near-infrared Imaging and Modelingmentioning

confidence: 99%

Image-based metric heritage modeling in the near-infrared spectrum

2020

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Digital photogrammetry and spectral imaging are widely used in heritage sciences towards the comprehensive recording, understanding, and protection of historical artifacts and artworks. The availability of consumer-grade modified cameras for spectral acquisition, as an alternative to expensive multispectral sensors and multi-sensor apparatuses, along with semi-automatic software implementations of Structure-from-Motion (SfM) and Multiple-View-Stereo (MVS) algorithms, has made more feasible than ever the combination of those techniques. In the research presented here, the authors assess image-based modeling from near-infrared (NIR) imagery acquired with modified consumergrade cameras, with applications on tangible heritage. Three-dimensional (3D) meshes, textured with the non-visible data, are produced and evaluated. Specifically, metric evaluations are conducted through extensive comparisons with models produced with image-based modeling from visible (VIS) imagery and with structured light scanning, to check the accuracy of results. Furthermore, the authors observe and discuss, how the implemented NIR modeling approach, affects the surface of the reconstructed models, and may counteract specific problems which arise from lighting conditions during VIS acquisition. The radiometric properties of the produced results are evaluated, in comparison to the respective results in the visible spectrum, on the capacity to enhance observation towards the characterization of the surface and under-surface state of preservation, and consequently, to support conservation interventions.

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“…The use of these techniques is widespread in a high number application fields (Khaliq et al 2018): among them precision agriculture, environmental monitoring, chemical analysis, medical research and, of course, cultural heritage documentation and investigation. As concerns the latter application, it is proved that thermal and spectral imaging can provide considerable support to the research community operating in the framework of valorisation and conservation (Pronti et al 2019;Adamopoulos and Rinaudo 2020) and that they represent a valuable non-invasive diagnostic tool for monitoring invaluable assets belonging to our built heritage. Undoubtedly the use of these technologies constitutes an opportunity to develop researches for the conservation of the built heritage, and a useful tool for professionals operating in the restoration field.…”

Section: Integration Between Traditional Rgb Datasets and Hyperspectrmentioning

confidence: 99%

Geomatic Contribution for the Restoration Project of the Valentino Castle Green Room. From Data Acquisition to Integrated Documentation

Patrucco

Chiabrando

Dameri

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In the framework of restoration operations, valuable assistance can be supplied from innovative techniques and methods developed in the field of Geomatics. Over the years, this continuous collaboration has produced synergistic and interdisciplinary results that have been successfully contributing to heritage conservation and valorisation. In the case of the current research, thorough multisensory investigations have been performed in order to provide a deeper knowledge of the Green Room of the Valentino Castle in Turin and to support the planning of the future restoration works that will involve this valuable asset. In the framework of this experience, four LiDAR systems have been employed in order to evaluate the different results obtainable from the sensors. Additionally, a complete photogrammetric close-range survey has been carried out, and some tests were completed using a hyperspectral camera. The workflow followed during the current research is described in this paper, and a comparison between the obtained outputs is proposed, focusing on the characteristics of these metric products, useful and sometimes necessary in the framework of the restoration project. Besides, some considerations on the advantages and the issues connected with the use of these reality-based data as a starting point for HBIM (Heritage Building Information Modeling) model generation are proposed, along with some observations about the potentialities of a photogrammetric co-registration approach using spectrum technologies for deterioration/decay detection and monitoring of heritage.

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Post-Processing of VIS, NIR, and SWIR Multispectral Images of Paintings. New Discovery on the The Drunkenness of Noah, Painted by Andrea Sacchi, Stored at Palazzo Chigi (Ariccia, Rome)

Cited by 26 publications

References 29 publications

Revealing time’s secrets at the National Theatre of Costa Rica via innovative software for cultural heritage research

Revealing time’s secrets at the National Theatre of Costa Rica via innovative software for cultural heritage research

Image-based metric heritage modeling in the near-infrared spectrum

Geomatic Contribution for the Restoration Project of the Valentino Castle Green Room. From Data Acquisition to Integrated Documentation

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