A multi-analytical approach for the characterisation of 20th century paintings

Fiorillo, Flavia; Matteucci, Chiara; Cataldo, Martina; Apicella, Salvatore Andrea; Vandini, Mariangela

doi:10.1140/epjp/i2019-12752-5

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…It is known that by chlorinating this pigment, greenish blue (Cyan), turquoise and finally very bright green are obtained. Since their introduction in the XX century (and precisely in 1936 [50]) blue and green phthalocyanines are among the most used pigments. Among these PG7 and PG36 green colorant [48,49,50] and also copper phatalocyanine CuPc [51] show signals in the same spectral range as our sample but a more precise identification is not possible (some of the spectra of other green colorants belonging to the same group are not published, at least to our knowledge).…”

Section: The Christ Of Borghetto and The Comparison Between The Two S...mentioning

confidence: 99%

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An integrated analytical approach for the characterization of repainted wooden statues dated to the fifteenth century

Fermo

Mearini²,

Bonomi³

et al. 2020

Microchemical Journal

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Section: The Christ Of Borghetto and The Comparison Between The Two S...mentioning

confidence: 99%

“…It is worth to notice that the application of a multi-analytic protocol is certainly a winning strategy in the case of the identification of the chemical nature of substances, both organic and inorganic [1][2][3][4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

An integrated analytical approach for the characterization of repainted wooden statues dated to the fifteenth century

Fermo

Mearini²,

Bonomi³

et al. 2020

Microchemical Journal

View full text Add to dashboard Cite

Pigments, Dyes and Colouring Agents

Edwards

Vandenabeele

Colomban

2022

Raman Spectroscopy in Cultural Heritage Preservation

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The role of deep neural network in the creation of traditional Chinese landscape painting

Cheng,

Wang,

Wang

2024

JCM

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With the wide application of deep learning technology in various fields, its potential in artistic creation has gradually attracted attention. This research focuses on the application of deep learning in the creation of traditional Chinese landscape painting and its cultural and aesthetic impact. First, the research comprehensively analyzes the existing deep learning algorithms and the basic elements of Chinese landscape painting to determine the most suitable model architecture. Then, through several rounds of experiments, various training parameters are adjusted and the optimal network configuration is determined. In terms of assessment, the study uses a variety of indicators, including visual quality and technical performance, as well as in-depth cultural and aesthetic analysis. The results show that deep learning not only effectively improves visual quality and technical performance, but also has a positive impact on culture and aesthetics. Although there are some limitations, such as high computational requirements and reliance on large amounts of training data, corresponding solutions are also proposed. This study provides a powerful experimental basis for the integration of Chinese traditional art and modern science and technology, and promotes the research in this field.

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A multi-analytical approach for the characterisation of 20th century paintings

Cited by 3 publications

References 25 publications

An integrated analytical approach for the characterization of repainted wooden statues dated to the fifteenth century

An integrated analytical approach for the characterization of repainted wooden statues dated to the fifteenth century

Pigments, Dyes and Colouring Agents

The role of deep neural network in the creation of traditional Chinese landscape painting

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