New perspectives in the non-invasive, in situ identification of painting materials: The advanced MWIR hyperspectral imaging

Daveri, Alessia; Paziani, Simone; Marmion, Mathiew; Harju, Harri; Vidman, Andreas; Azzarelli, Michela; Vagnini, Manuela

doi:10.1016/j.trac.2017.11.004

Cited by 21 publications

(3 citation statements)

References 19 publications

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“…Mid-infrared spectroscopy in reflection mode is widely used to characterise inorganic and organic coating materials. Similarly, MWIR hyperspectral imaging has been reported to have great potential for the characterisation and spatial mapping of paints [64]. However, the proper implementation of such a hyperspectral imaging system is challenging in terms of both instrumental set-up and illumination.…”

Section: Resultsmentioning

confidence: 99%

Nondestructive Evaluation of Heritage Object Coatings with Four Hyperspectral Imaging Systems

Sandak

Legan

et al. 2021

Coatings

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Advanced imaging techniques can noninvasively characterise, monitor, and evaluate how conservation treatments affect cultural heritage objects. In this specific field, hyperspectral imaging allows nondestructive characterisation of materials by identifying and characterising colouring agents, binders, and protective coatings as components of an object’s original construction or later historic additions. Furthermore, hyperspectral imaging can be used to monitor deterioration or changes caused by environmental conditions. This paper examines the potential of hyperspectral imaging (HSI) for the evaluation of heritage objects. Four cameras operating in different spectral ranges were used to nondestructively scan a beehive panel painting that originated from the Slovene Ethnographic Museum collection. The specific objective of this research was to identify pigments and binders present in the samples and to spatially map the presence of these across the surface of the art piece. Merging the results with databases created in parallel using other reference methods allows for the identification of materials originally used by the artist on the panel. Later interventions to the original paintings can also be traced as part of past conservation campaigns.

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Section: Resultsmentioning

confidence: 99%

Nondestructive Evaluation of Heritage Object Coatings with Four Hyperspectral Imaging Systems

Sandak

Legan

et al. 2021

Coatings

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“…In general, HSI can be applied in a variety of spectral bands. There are HSI applications in the short-wave infrared (SWIR) 1-3 µm [12], mid-wave infrared (MWIR) 3-5 µm [13], and long-wave infrared (LWIR) 8-14 µm [14] bands. Nevertheless, the applications of HSI in visible near-infrared (VNIR) 0.3-1 µm spectral band are most frequent [15,16].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Spectral Characteristics of Dye- and Pigment-Based Inkjet Prints by VNIR Hyperspectral Imaging

Krauz

Páta

Kaiser

2022

Sensors

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Fine art photography, paper documents, and other parts of printing that aim to keep value are searching for credible techniques and mediums suitable for long-term archiving purposes. In general, long-lasting pigment-based inks are used for archival print creation. However, they are very often replaced or forged by dye-based inks, with lower fade resistance and, therefore, lower archiving potential. Frequently, the difference between the dye- and pigment-based prints is hard to uncover. Finding a simple tool for countrified identification is, therefore, necessary. This paper assesses the spectral characteristics of dye- and pigment-based ink prints using visible near-infrared (VNIR) hyperspectral imaging. The main aim is to show the spectral differences between these ink prints using a hyperspectral camera and subsequent hyperspectral image processing. Two diverse printers were exploited for comparison, a hobby dye-based EPSON L1800 and a professional pigment-based EPSON SC-P9500. The identical prints created via these printers on three different types of photo paper were recaptured by the hyperspectral camera. The acquired pixel values were studied in terms of spectral characteristics and principal component analysis (PCA). In addition, the obtained spectral differences were quantified by the selected spectral metrics. The possible usage for print forgery detection via VNIR hyperspectral imaging is discussed in the results.

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“…1), while spectral scan instruments record single images for each spectral band selected sequentially in time, and snapshot hyperspectral imagers record the image at all wavelengths at the same time. For about two decades HSI have been more and more widely used for various application including geology (Borengasser et al 2007, van der Meer et al 2012), industry, environment, agriculture (Borengasser et al 2007), agri-food, forensic (Khan et al 2018), biotechnologies and medical diagnosis (Lu and Fei, 2014) as well as art painting where it is becoming an essential tool for the historical study of the technical realization paint layers and underlying material) of the artwork (Cucci et al 2016), their restoration (Alfeld and de Viguerie 2017; Daveri et al 2018) as well as for their expertise (Polaka et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

From RGB camera to Hyperspectral imaging: a breakthrough in Neolithic Rock Painting analysis

Schmitt

Souidi

Duquesnoy

et al. 2022

Preprint

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Rock paintings undergo physical, chemical, biological and/or anthropic alterations that alter their visibility. Cameras and image enhancement tools (DStretch® plug-in) are commonly used to help identify and record images that have become invisible to the naked eye. HyperSpectral imaging (HSI) which is strongly developing in many research and application fields, is tested in this study to analyze Neolithic rock paintings. We particularly address the question of what kind of additional information can Visible Near InfraRed HSI instruments, coupled to mathematical transformations to reduce the dimensionality of the data, bring for rock paintings, compared to standard RGB cameras. From the analysis of a selection of panels painted on yellow-reddish altered sandstone walls and measured in Saharan shaded shelters we show that HSI can reveal new images by capitalizing both on its ability to extract the different pigment types with a greater contrast and on the new discriminating information contained in the very near infrared part of the spectrum. Despite their much smaller image format, HSI can provide up to 5–7 contrasted images of the spatial distribution of the different types of pigments in the figures. It thus appears to be a promising non-invasive and efficient methodology to both reveal disappeared paintings and to study image juxtapositions and painted layer superimpositions.

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New perspectives in the non-invasive, in situ identification of painting materials: The advanced MWIR hyperspectral imaging

Cited by 21 publications

References 19 publications

Nondestructive Evaluation of Heritage Object Coatings with Four Hyperspectral Imaging Systems

Nondestructive Evaluation of Heritage Object Coatings with Four Hyperspectral Imaging Systems

Assessing the Spectral Characteristics of Dye- and Pigment-Based Inkjet Prints by VNIR Hyperspectral Imaging

From RGB camera to Hyperspectral imaging: a breakthrough in Neolithic Rock Painting analysis

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