With the recent trend for ultra high definition displays, the demand for high quality and
efficient video super-resolution (VSR) has become more important than ever. Previous …

Video super-resolution is currently one of the most active research topics in computer vision
as it plays an important role in many visual applications. Generally, video super-resolution …

This paper reviews the video extreme super-resolution challenge associated with the AIM
2020 workshop at ECCV 2020. Common scaling factors for learned video super-resolution …

Video super-resolution aims to recover the high-resolution (HR) contents from the low-
resolution (LR) observations relying on compositing the spatial-temporal information in the …

Compressed sensing (CS) is well known method for solving fast reconstruction of magnetic
resonance (MR) images. However, the quality of the reconstructed images is sensitive to the …

Abstract Electrical Impedance Tomography (EIT) systems are becoming popular because
they present several advantages over competing systems. However, EIT leads to images …

The current rapid advancements of computational hardware has opened the door for deep
networks to be applied for real-time video processing, even on consumer devices …

This paper proposes a robust multi-frame video super-resolution (SR) scheme to obtain high
SR performance under large upscaling factors. Although the reference low-resolution frames …

Multimedia Super-Resolution (SR) reconstruction is an essential and mandatory process for
different visualization functions. Recently, several schemes have been suggested for single …

Hyperspectral image (HI) and multispectral image (MI) fusion allows us to overcome the
hardware limitations of hyperspectral imaging systems inherent to their lower spatial …