Images magnified by standard methods display a degradation of detail that is particularly noticeable in the blurry edges of text. Current super-resolution algorithms address the l...
In this paper, a novel approach to large-format image segmentation is presented, focused on usage in content-based multimedia applications. The proposed framework aims at facilita...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
Diffusion-type algorithms have been integrated in recent years successfully into the toolbox of image processing. We introduce a new more flexible and powerful family of parabolic...
This paper proposes an image compression approach, in which we incorporate primal sketch based learning into the mainstream image compression framework. The key idea of our approa...
Palimpsests -twice written manuscripts- are of great interest since they may contain important hidden text underneath the visible one. Hyperspectral imaging may aid the expert to ...