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 …

Multi-aperture imaging can improve spatial resolution by fusing complementary information
from multiple low-resolution (LR) frames using super-resolution (SR) algorithms. The …

Super-resolution (SR) reconstructs a high-resolution (HR) image from a set of low-resolution
(LR) pictures and restores an HR video from a group of neighboring LR frames. Optimization …

This paper addresses the reconstruction of high-resolution omnidirectional images from
multiple low-resolution images with inexact registration. When omnidirectional images from …

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) …

In this work, we propose a novel procedure for video superresolution, that is, the recovery of
a sequence of high-resolution images from its low-resolution counterpart. Our approach is …

Video super-resolution reconstruction (SRR) algorithms attempt to reconstruct high-
resolution (HR) video sequences from low-resolution observations. Although recent …

In this paper, a new video super-resolution reconstruction (SRR) method with improved
robustness to outliers is proposed. By studying the proximal point cost function …

SR approaches reconstruct a High-Resolution (HR) image from a set of Low-Resolution
(LR) images, and restore an HR video from a group of neighboring LR frames. To overcome …

This work presents a discussion about multi-frame Super-Resolution Reconstruction (SRR)
and single-frame interpolation. SRR has been extensively studied in the last decades but it …