Materials with complex optical properties like gold foils are commonly used for gilding in the field of conservation and restoration to render the visual appearance of the restoration object. Characterising the appearance ...

Whiteboards are commonly used as a medium of instant illustration of ideas during several activities including presentations, lectures, meetings, and related others through videoconferencing systems. However, the acquisition ...

This study has investigated how the growing technology of multichannel printing and the area of spectral printing in the graphic arts could help the textile industry to communicate accurate colour. In order to reduce the ...

Eye tracking as a quantitative method for collecting eye movement data, requires the accurate knowledge of the eye position, where eye movements can provide indirect evidence about what the subject sees. In this study two ...

Ink classification is an active topic in historic and forensic document analysis. In this work, we compared the ink classification capabilities of five commonly used and wellproven similarity measures for classification ...

Chromagenic color constancy is one of the promising solutions to the color constancy problem. However, this technique requires two shots of a scene: a conventional RGB image and an additional image that is optically ...

Archaeological artifacts play important role in understanding the past developments of the humanity. However, the artifacts are often highly fragmented and degraded, with many details and parts missing due to centuries’ ...

Ancient documents were often created by overwriting older documents that had been erased to re-use the expensive parchment. There is thus the situation that we have valuable documents that actually contain possibly more ...

Deep learning algorithms have demonstrated state-of-the-art performance in various tasks of image restoration. This was made possible through the ability of CNNs to learn from large exemplar sets. However, the latter becomes ...

In the last several years, deep learning has been introduced to recover a hyperspectral image (HSI) from a single RGB image and demonstrated good performance. In particular, attention mechanisms have further strengthened ...