Wei Pu, Barak Sober, Nathan Daly, Chao Zhou, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R D Rodrigues
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 artist's techniques and working methods, often revealing hidden information invisible to the naked eye. X-radiograpy of double-sided paintings results in a mixed X-ray image and this paper deals with the problem of separating this mixed image. Using the visible color images (RGB images) from each side of the painting, we propose a new Neural Network architecture, based upon 'connected' auto-encoders, designed to separate the mixed X-ray image into two simulated X-ray images corresponding to each side...
May 18, 2023: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society