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 …

A new approach toward increasing spatial resolution is required to overcome the limitations
of the sensors and optics manufacturing technology. One promising approach is to use …

Single image super-resolution (SISR) has played an important role in the field of image
processing. Recent generative adversarial networks (GANs) can achieve excellent results …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

In this paper, we propose a novel method for solving single-image super-resolution
problems. Given a low-resolution image as input, we recover its high-resolution counterpart …

This tutorial reviews image alignment and image stitching algorithms. Image alignment
algorithms can discover the correspondence relationships among images with varying …

Nearly all super-resolution algorithms are based on the fundamental constraints that the
super-resolution image should generate low resolution input images when appropriately …

In many imaging systems, the detector array is not sufficiently dense to adequately sample
the scene with the desired field of view. This is particularly true for many infrared focal plane …

Faces often appear very small in surveillance imagery because of the wide fields of view that
are typically used and the relatively large distance between the cameras and the scene. For …

This article introduces a novel representation for three-dimensional (3D) objects in terms of
local affine-invariant descriptors of their images and the spatial relationships between the …