• Colour-Balanced Edge-Guided Digital Inpainting: Applications on Artworks 

      Ciortan, Irina-Mihaela; George, Sony; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2021)
      The virtual inpainting of artworks provides a nondestructive mode of hypothesis visualization, and it is especially attractive when physical restoration raises too many methodological and ethical concerns. At the same time, ...
    • Crack Detection in Single- and Multi-Light Images of Painted Surfaces using Convolutional Neural Networks 

      Dulecha, Tinsae; Giachetti, Andrea; Pintus, Ruggero; Ciortan, Irina-Mihaela; Jaspe Villanueva, Alberto; Gobbetti, Enrico (Chapter, 2019)
      Cracks represent an imminent danger for painted surfaces that needs to be alerted before degenerating into more severe aging effects, such as color loss. Automatic detection of cracks from painted surfaces' images would ...
    • Fluorescence Transformation Imaging 

      Ciortan, Irina-Mihaela; Giachetti, Andrea; George, Sony; Hardeberg, Jon Yngve (Chapter, 2021)
      Fluorescence is a photoluminescence phenomenon where light is absorbed at lower wavelengths and re-emitted at longer wavelengths. For classic artworks, fluorescence gives useful information about varnish and retouches. At ...
    • Multi-scale Painter Classification 

      Ciortan, Irina-Mihaela; Arteaga, Yoko; George, Sony; Hardeberg, Jon Yngve (Chapter, 2022)
      The characterization of a painter’s style is useful for a series of applications, such as documenting art history, planning style-aware conservation and restoration, and discarding forgery attempts. In this work, we propose ...
    • Predicting Pigment Color Degradation with Time Series Models 

      Ciortan, Irina-Mihaela; Poulsson, Tina Grette; George, Sony; Hardeberg, Jon Yngve (Chapter, 2022)
      The colors of pigments and dyes are affected by light exposure. Light-induced color change has an impact on various industrial and artistic applications where colored materials are frequently exposed to light throughout ...
    • Spectral and Multi-light Imaging for Cultural Heritage: Material Analysis and Appearance Reconstruction 

      Ciortan, Irina-Mihaela (Doctoral theses at NTNU;2023:230, Doctoral thesis, 2023)
      The visual characteristics of an object are defined by complex light-matter interaction phenomena. The field of visual computing studies these phenomena in order to better understand optical properties of real-world scenes ...
    • State-of-the-art in Multi-Light Image Collections for Surface Visualization and Analysis 

      Pintus, Ruggero; Dulecha, Tinsae; Ciortan, Irina-Mihaela; Gobbetti, Enrico; Giachetti, Andrea (Peer reviewed; Journal article, 2019)
      Multi‐Light Image Collections (MLICs), i.e., stacks of photos of a scene acquired with a fixed viewpoint and a varying surface illumination, provide large amounts of visual and geometric information. In this survey, we ...
    • Tensor decomposition for painting analysis. Part 1: pigment characterization 

      Ciortan, Irina-Mihaela; Poulsson, Tina Grette; George, Sony; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2023)
      Photo-sensitive materials tend to change with exposure to light. Often, this change is visible when it affects the reflectance of the material in the visible range of the electromagnetic spectrum. In order to understand ...