The AIRES-CH Project: Artificial Intelligence for Digital REStoration of Cultural Heritages Using Nuclear Imaging and Multidimensional Adversarial Neural Networks

被引：10

作者：

Bombini, Alessandro ^{[1
]}

Anderlini, Lucio ^{[1
]}

Dell'Agnello, Luca ^{[2
]}

Giaocmini, Francesco ^{[2
]}

Ruberto, Chiara ^{[1
]}

Taccetti, Francesco ^{[1
]}

机构：

[1] Ist Nazl Fis Nucl, Florence Sect, Via Bruno Rossi 1, I-50019 Sesto Fiorentino, FI, Italy

[2] INFN CNAF, Viale Carlo Berti Pichat 6, I-40127 Bologna, BO, Italy

来源：

IMAGE ANALYSIS AND PROCESSING, ICIAP 2022, PT I | 2022年 / 13231卷

关键词：

Image processing for cultural heritage; Deep learning; X-ray fluorescence imaging; Web technologies;

D O I：

10.1007/978-3-031-06427-2_57

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Artificial Intelligence for digital REStoration of Cultural Heritage (AIRES-CH) aims at building a web-based app for the digital restoration of pictorial artworks through Computer Vision technologies applied to physical imaging raw data. Physical imaging techniques, such as XRF, PIXE, PIGE, and FTIR, are capable of exploring a wide range of wavelengths providing spectra that are used to infer the chemical composition of the pigments. A multidimensional neural network, specifically designed to automatically restore damaged or hidden pictorial work, will be deployed on the INFN-CHNet Cloud as a web service, freely available to authenticated researchers. In this contribution, we report the status of the project, its current results, the development plans as well as future prospects.

引用

页码：685 / 700

页数：16

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