11 citations · 17 across the 3 of their papers we have counts for
4 papers
Adversarial Deep-Unfolding Network for MA-XRF Super-Resolution on Old Master Paintings Using Minimal Training Data
Herman Verinaz-Jadan, Su Yan, Catherine Higgitt +1
High-quality element distribution maps enable precise analysis of the material composition and condition of Old Master paintings. These maps are typically produced from data acquir…
A Fast Automatic Method for Deconvoluting Macro X-ray Fluorescence Data Collected from Easel Paintings
Su Yan, Jun-Jie Huang, Herman Verinaz-Jadan +3
Macro X-ray Fluorescence (MA-XRF) scanning is increasingly widely used by researchers in heritage science to analyse easel paintings as one of a suite of non-invasive imaging techn…
Mixed X-Ray Image Separation for Artworks with Concealed Designs
Wei Pu, Jun-Jie Huang, Barak Sober +5
In this paper, we focus on X-ray images of paintings with concealed sub-surface designs (e.g., deriving from reuse of the painting support or revision of a composition by the artis…
Image Separation with Side Information: A Connected Auto-Encoders Based Approach
Wei Pu, Barak Sober, Nathan Daly +4
X-radiography (X-ray imaging) is a widely used imaging technique in art investigation. It can provide information about the condition of a painting as well as insights into an arti…