In this work, a critical review of the current nondestructive probing and image analysis
approaches is presented, to revealing otherwise invisible or hardly discernible details in …

Digital restoration is a rapidly growing methodology within the field of heritage conservation,
especially for early cinematic films which have intrinsically unstable dye colourants that …

Over the last 30 years a plethora of variational regularization models for image
reconstruction have been proposed and thoroughly inspected by the applied mathematics …

Digital image inpainting refers to techniques used to reconstruct a damaged or incomplete
image by exploiting available image information. The main goal of this work is to perform the …

Variational regularisation is the primary method for solving inverse problems, and recently
there has been considerable work leveraging deeply learned regularisation for enhanced …

We propose a new variational model for non-linear image fusion. Our approach is based on
the use of an osmosis energy term related to the one studied in Vogel et al. and Weickert et …

This paper proposes a new model for image shadow removal. The model reformulates a
recent osmosis model with nonlocal differential operators. This allows to benefit from distant …

As brought to light by the increasing number and variety of research papers reporting the
results of scientific analyses of medieval and Renaissance manuscripts, the role of analytical …

Image inpainting (or Image completion) is the process of reconstructing lost or corrupted
parts of images. It can be used to fill in missing or corrupted parts of an image, such as …

The unprecedented success of image reconstruction approaches based on deep neural
networks has revolutionised both the processing and the analysis paradigms in several …