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Machine learning for painting conservation: a state-of-the-art review
15 references·0 citing·39 second hop
Machine learning for painting conservation: a state-of-the-art review (2025)Machine learning for painting conservatio…Using machine learning to predict artistic styles: an analysis of trends and the research agenda (2024)Using machine learning to pre…Machine learning in analytical chemistry for cultural heritage: A comprehensive review (2024)Machine learning in analytica…Advances in Automated Pigment Mapping for 15th-Century Manuscript Illuminations Using 1-D Convolutional Neural Networks and Hyperspectral Reflectance Image Cubes (2024)Advances in Automated Pigment…A Review on Traditional and Artificial Intelligence-Based Preservation Techniques for Oil Painting Artworks (2024)A Review on Traditional and A…Unmixing and pigment identification using visible and short-wavelength infrared: Reflectance vs logarithm reflectance hyperspaces (2023)Unmixing and pigment identifi…Neural Networks for Hyperspectral Imaging of Historical Paintings: A Practical Review (2023)Neural Networks for Hyperspec…Neural network-based classification of X-ray fluorescence spectra of artists’ pigments: an approach leveraging a synthetic dataset created using the fundamental parameters method (2022)Neural network-based classifi…Mixed X-Ray Image Separation for Artworks With Concealed Designs (2022)Mixed X-Ray Image Separation …Can deep learning assist automatic identification of layered pigments from XRF data? 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References

  • 2017Hyperspectral imaging combined with data classification techniques as an aid for artwork authentication123 cited
  • 2018Automatic pigment identification from hyperspectral data107 cited
  • 2015Digital Image Processing of The Ghent Altarpiece: Supporting the painting's study and conservation treatment42 cited
  • 2023Neural Networks for Hyperspectral Imaging of Historical Paintings: A Practical Review36 cited
  • 2019Artificial intelligence for art investigation: Meeting the challenge of separating x-ray images of the Ghent Altarpiece36 cited
  • 2022Neural network-based classification of X-ray fluorescence spectra of artists’ pigments: an approach leveraging a synthetic dataset created using the fundamental parameters method35 cited
  • 2021Artificial Intelligence for Pigment Classification Task in the Short-Wave Infrared Range27 cited
  • 2024A Review on Traditional and Artificial Intelligence-Based Preservation Techniques for Oil Painting Artworks26 cited
  • 2023Unmixing and pigment identification using visible and short-wavelength infrared: Reflectance vs logarithm reflectance hyperspaces25 cited
  • 2024Using machine learning to predict artistic styles: an analysis of trends and the research agenda22 cited
  • 2024Machine learning in analytical chemistry for cultural heritage: A comprehensive review21 cited
  • 2022Can deep learning assist automatic identification of layered pigments from XRF data?20 cited
  • 2014Digital cradle removal in X-ray images of art paintings

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15 cited
  • 2022Mixed X-Ray Image Separation for Artworks With Concealed Designs12 cited
  • 2024Advances in Automated Pigment Mapping for 15th-Century Manuscript Illuminations Using 1-D Convolutional Neural Networks and Hyperspectral Reflectance Image Cubes8 cited
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