Super-resolution, the process of obtaining one or more high-resolution images from one or
more low-resolution observations, has been a very attractive research topic over the last two …

The key objective of super-resolution (SR) imaging is to reconstruct a higher-resolution
image based on a set of images, acquired from the same scene and denoted as 'low …

A novel face hallucination method is proposed in this paper for the reconstruction of a high-
resolution face image from a low-resolution observation based on a set of high-and low …

We provide a complex software package allowing the user to deploy multiple ionizing
radiation sources and detectors modeled after the Timepix miniature pixel detector. The …

Video super-resolution (VSR) is a prominent research topic in low-level computer vision,
where deep learning technologies have played a significant role. The rapid progress in …

In this paper, a new video super-resolution reconstruction (SRR) method with improved
robustness to outliers is proposed. Although the regularized least mean squares (R-LMSs) …

This paper proposes a hyperspectral image deconvolution algorithm for the online
restoration of hyperspectral images as provided by wiskbroom and pushbroom scanning …

In this study, a new video super-resolution (SR) reconstruction approach using a mobile
search strategy and adaptive patch size is proposed. Based on the modified nonlocal …

RESUMO A rastreabilidade bovina é de extrema importância tanto para o produtor quanto
para o consumidor, uma vez que com ela se identificam detalhes da vida de cada animal …

Super-resolution reconstruction of image sequences is highly dependent on data outliers
and on the quality of the motion estimation. This paper addresses the design of the least …