Contents

• Publications
• Presentations
• News

Publications

Articles produced by the project team.

• S. Yan, J. Huang, N. Daly, C. Higgitt and P. L. Dragotti, Revealing Hidden Drawings in Leonardo’s ‘the Virgin of the Rocks’ from Macro X-Ray Fluorescence Scanning Data through Element Line Localisation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020. ( last checked 19/01/2022 )
• W. Pu, B. Sober, N. Daly, C. Higgitt, I. Daubechies, M. R. D. Rodrigues, A connected auto-encoders based approach for image separation with side information: with applications to art investigation, IEEE International Conference on Acoustics, Speech and Signal Processing, 2020. ( last checked 19/01/2022 )
• Z. Sabetsarvestani, F. Renna, F. Kiraly and M. R. D. Rodrigues, Source Separation with Side Information Based on Gaussian Mixture Models With Application in Art Investigation, IEEE Transactions on Signal Processing, 2020. ( last checked 19/01/2022 )
• Z. Sabetsarvestani, B. Sober, C. Higgitt, I. Daubechies, and M. R. D. Rodrigues, Artificial intelligence for art investigation: Meeting the challenge of separating x-ray images of the Ghent Altarpiece, Science Advances, 2019. ( last checked 19/01/2022 )
• N. Deligiannis, J. F. C. Mota, B. Cornelis, M. R. D. Rodrigues, and I. Daubechies, Multi-Modal Dictionary Learning for Image Separation With Application In Art Investigation, IEEE Transactions on Image Processing, 2016. ( last checked 19/01/2022 )
• Su Yan, Junjie Huang, Nathan Daly, Catherine Higgitt, and Pier Luigi Dragotti, When de Prony met Leonardo: An automatic algorithm for chemical element extraction from macro X-Ray Fluorescence Data, IEEE Transactions on Image Processing, 2021. ( last checked 19/01/2022 )
• Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti, Ingrid Daubechies, and Miguel Rodrigues, A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs, 29th European Signal Processing Conference (EUSIPCO 2021) ( last checked 19/01/2022 )
• Wei Pu, Barak Sober, Nathan Daly, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies and Miguel R.D. Rodrigues, Image Separation with Side Information: A Connected Auto-Encoders Based Approach, TIP (forthcoming). ( last checked 19/01/2022 )
• Chao Zhou, Miguel RD Rodrigues, An ADMM Based Network for Hyperspectral Unmixing Tasks, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ( last checked 19/01/2022 )
• Chao Zhou, Miguel R.D. Rodrigues, ADMM-Based Hyperspectral Unmixing Networks for Abundance and Endmember Estimation, IEEE Transactions on Geoscience and Remote Sensing ( last checked 19/01/2022 )
• Chao Zhou, Miguel R.D. Rodrigues , Blind Unmixing Using a Double Deep Image Prior, ICASSP2022 (submitted) ( no checked date )
• M. Spring, M. Melchiorre Di Crescenzo, C. Higgitt and R. Billinge, Leonardo’s Virgin of the Rocks in the National Gallery, London; new discoveries from macro X-ray fluorescence scanning and reflectance imaging spectroscopy, National Gallery Technical Bulletin, 41, 2021, pp. 68-117 ( no checked date )

Presentations

Public presentation describing or linked to the project.

News

Related News Articles.

• Caroline Brogan, Martin Sayers [Digital Media Producer], Mariana Kneppers, New algorithm helps uncover forgotten figures beneath da Vinci painting, Imperial College London Website: 04 February 2020 ( no checked date )