Preserving Artistic Heritage: A Comprehensive Review of Virtual Restoration Methods for Damaged Artworks

P Kumar, V Gupta - Archives of Computational Methods in Engineering, 2024 - Springer
Restoration of damaged artwork is an important task to preserve the culture and history of
humankind. Restoration of damaged artwork is a delicate, complex, and irreversible process …

A robot for artistic painting in authentic colors

A Karimov, E Kopets, S Leonov, L Scalera… - Journal of Intelligent & …, 2023 - Springer
Artistic robotic painting automates the process of creating an artwork. This complex and
challenging task includes several aspects: creating algorithms for rendering brushstrokes …

Virtual restoration of the colored paintings on weathered beams in the Forbidden City using multiple deep learning algorithms

Z Zou, P Zhao, X Zhao - Advanced Engineering Informatics, 2021 - Elsevier
The colored paintings on the surfaces of ancient Chinese buildings have suffered from the
wind and the sun and produced many defects such as paint loss, blurring, and color …

[HTML][HTML] Digital restoration of colour cinematic films using imaging spectroscopy and machine learning

L Liu, E Catelli, A Katsaggelos, G Sciutto, R Mazzeo… - Scientific reports, 2022 - nature.com
Digital restoration is a rapidly growing methodology within the field of heritage conservation,
especially for early cinematic films which have intrinsically unstable dye colourants that …

Geometric documentation and virtual restoration of the rock art removed in Aragón (Spain)

M Bea, J Angás - Journal of Archaeological Science: Reports, 2017 - Elsevier
Abstract In 1903 Juan Cabré discovered the first prehistoric site with Spanish Levantine rock
art (Roca dels Moros). During the course of the study, Henri Breuil discovered the nearby …

Dual attention and channel transformer based generative adversarial network for restoration of the damaged artwork

P Kumar, V Gupta, M Grover - Engineering Applications of Artificial …, 2024 - Elsevier
Artworks are treasures of valuable cultural and historical heritage. Artworks get damaged
due to environmental and other factors. The artificial intelligence-based restoration of …

Crack detection in paintings using convolutional neural networks

R Sizyakin, B Cornelis, L Meeus, H Dubois… - Ieee …, 2020 - ieeexplore.ieee.org
The accurate detection of cracks in paintings, which generally portray rich and varying
content, is a challenging task. Traditional crack detection methods are often lacking on …

[HTML][HTML] Integrating expert feedback on the spot in a time-efficient explorative CT scanning workflow for cultural heritage objects

FG Bossema, SB Coban, A Kostenko… - Journal of Cultural …, 2021 - Elsevier
Computed Tomography (CT) has proven itself as a powerful technique for analysing the
internal structure of cultural heritage objects. The process followed by conservators and …

[HTML][HTML] Classification of geometric forms in mosaics using deep neural network

M Ghosh, SM Obaidullah, F Gherardini, M Zdimalova - Journal of Imaging, 2021 - mdpi.com
The paper addresses an image processing problem in the field of fine arts. In particular, a
deep learning-based technique to classify geometric forms of artworks, such as paintings …

3D multi-modal point clouds data fusion for metrological analysis and restoration assessment of a panel painting

E Grifoni, E Vannini, I Lunghi, P Faraioli… - Journal of Cultural …, 2024 - Elsevier
This paper reports the results obtained from the workflow designed for the 3D survey of a
Renaissance panel painting using close-range photogrammetry and conoscopic laser …