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Catherine Higgitt

3 accepted papers

2023

Super-Resolution for Macro X-Ray Fluorescence Data Collected from Old Master Paintings

ICASSP 2023accepted

Macro X-ray fluorescence (MA-XRF) scanning is commonly used to non-invasively analyse Old Master paintings by mapping the distribution of the chemical elements present in the artworks. The visual quality of the element distribution maps is very important for characterising the materials and understa…

Cited by 0SourceScholar
2020

A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation

ICASSP 2020accepted

X-radiography is a widely used imaging technique in art investigation, whether to investigate the condition of a painting or provide insights into artists' techniques and working methods. In this paper, we propose a new architecture based on the use of `connected' auto-encoders in order to separate…

Cited by 0SourceScholar
2020

Revealing Hidden Drawings in Leonardo's 'the Virgin of the Rocks' from Macro X-Ray Fluorescence Scanning Data through Element Line Localisation

ICASSP 2020accepted

Macro X-Ray Fluorescence (XRF) scanning is an increasingly widely used imaging technique for the non-invasive detection and mapping of chemical elements in Old Master paintings. Existing approaches for XRF signal analysis require varying degrees of expert user input. They are mainly based on peak fi…

Cited by 0SourceScholar