A method for the registration of spectral images of paintings and its evaluation

Zacharopoulos, Athanasios; Hatzigiannakis, Kostas; Karamaoynas, Polykarpos; Papadakis, Vassilis; Andrianakis, Michalis; Melessanaki, Kristalia; Zabulis, Xenophon

doi:10.1016/j.culher.2017.07.004

Cited by 16 publications

(11 citation statements)

References 22 publications

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“…This was achieved by dividing the sample's spectral images (with the relative DRT's spectral images and multiplying) with the known reflectivity of the DRT at each wavelength band investigated. Registration was conducted by a custom-made algorithm specifically designed to operate with data derived from multi-spectral imaging systems [44]. j This specific effect was clearly visible at naked eye but, in this case, it was not recorded with OM and SEM techniques (mainly due to the size of the painting).…”

Section: Tablementioning

confidence: 99%

A study on the heat distribution and oxidative modification of aged dammar films upon Er:YAG laser irradiation

Chillè¹,

Sala²,

Wu³

et al. 2020

Journal of the Institute of Conservation

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This paper aims to evaluate the Er:YAG laser efficacy to safely thin a varnish on a modern 19 th century oil painting. Tests were carried out under single and multiple laser scans directly on the surface (dry) or after pre-wetting with deionised water (DIW) and a non-ionic surfactant (Tween 20), fluence ranges of 0.56-2.40 J/cm 2 and 100 sec pulse duration. Microscope glass coverslips were placed on the painting surface during irradiation to collect the condensed resin fragments that were extracted from the varnished surfaces. Spectral clusterisation maps of Multispectral Imaging (MSI) data of the irradiated surface supported the evaluation of the procedure. Further evaluation was performed by stereomicroscopy and colourimetry. Fourier Transform Infrared spectroscopy (FT-IR) and Pyrolysis Gas Chromatography / Mass Spectrometry (Py-GC/MS) analysis indicated that the varnish resin was dammar. The collected resin fragments were analysed by FT-IR. The results showed that the resin did not degrade even at the highest level of fluence employed, thereby allowing a subsequent analytical evaluation.

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Section: Tablementioning

confidence: 99%

A study on the heat distribution and oxidative modification of aged dammar films upon Er:YAG laser irradiation

Chillè¹,

Sala²,

Wu³

et al. 2020

Journal of the Institute of Conservation

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“…The datasets in [ 35 , 36 ] consist of images of objects taken indoors. There are some datasets which consist of a specific category of objects, like paintings [ 42 ], leaves from apple tree [ 43 ], textiles [ 39 ], honey [ 41 ] and wood samples [ 44 ]. Most of the available datasets are sampled or re-sampled at 10 nm intervals, while some of them have different sampling intervals, e.g., [ 28 ] has

nm sampling step, while datasets in [ 41 , 43 ] have spectral sampling intervals of 6 nm and

nm, respectively.…”

Section: Comparison Of Hytexila With Existing Hyperspectral Datasementioning

confidence: 99%

“…The information in NIR is valuable for material classification [ 45 , 46 , 47 ], and the identification of textile fibers [ 48 ] and minerals [ 49 ]. Although some of the hyperspectral datasets provide information in the NIR region, they are either for specific samples, as in [ 41 , 42 , 43 ], or consist of outdoor scenes with many objects, as in [ 28 , 32 ]. Each image in our dataset consists of one specific, rather flat, object.…”

Section: Comparison Of Hytexila With Existing Hyperspectral Datasementioning

confidence: 99%

HyTexiLa: High Resolution Visible and Near Infrared Hyperspectral Texture Images

Khan

Mihoubi

Mathon

et al. 2018

Sensors

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We present a dataset of close range hyperspectral images of materials that span the visible and near infrared spectrums: HyTexiLa (Hyperspectral Texture images acquired in Laboratory). The data is intended to provide high spectral and spatial resolution reflectance images of 112 materials to study spatial and spectral textures. In this paper we discuss the calibration of the data and the method for addressing the distortions during image acquisition. We provide a spectral analysis based on non-negative matrix factorization to quantify the spectral complexity of the samples and extend local binary pattern operators to the hyperspectral texture analysis. The results demonstrate that although the spectral complexity of each of the textures is generally low, increasing the number of bands permits better texture classification, with the opponent band local binary pattern feature giving the best performance.

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“…3D multispectral models can also be recovered using digital photogrammetry. Many examples of the application of the above described techniques in restoration, archiving and documentation processes can already be found in recent literature [114], [115], [116], [117], [118].…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Analytical and mathematical methods for revealing hidden details in ancient manuscripts and paintings: A review

Tonazzini

Salerno

Abdel‐Salam

et al. 2019

Journal of Advanced Research

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A method for the registration of spectral images of paintings and its evaluation

Cited by 16 publications

References 22 publications

A study on the heat distribution and oxidative modification of aged dammar films upon Er:YAG laser irradiation

A study on the heat distribution and oxidative modification of aged dammar films upon Er:YAG laser irradiation

HyTexiLa: High Resolution Visible and Near Infrared Hyperspectral Texture Images

Analytical and mathematical methods for revealing hidden details in ancient manuscripts and paintings: A review

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