Video super-resolution (VSR) is reconstructing high-resolution videos from low resolution
ones. Recently, the VSR methods based on deep neural networks have made great …

Image super-resolution (SR) is one of the vital image processing methods that improve the
resolution of an image in the field of computer vision. In the last two decades, significant …

Humans use facial expressions to show their emotional states. However, facial expression
recognition has remained a challenging and interesting problem in computer vision. In this …

Image super-resolution has become an important technology recently, especially in the
medical and industrial fields. As such, much effort has been given to develop image super …

Image super‐resolution reconstruction refers to a technique of recovering a high‐resolution
(HR) image (or multiple images) from a low‐resolution (LR) degraded image (or multiple …

High-fidelity information, such as 4K quality videos and photographs, is increasing as high-
speed internet access becomes more widespread and less expensive. Even though camera …

Adversarial methods have demonsterated to be signifiant at generating realistic images.
However, these approaches have a challenging training process which partially attributed to …

Inverse kinematic equations allow the determination of the joint angles necessary for the
robotic manipulator to place a tool into a predefined position. Determining this equation is …

At present, there are two obvious problems in radar-based gait recognition. First, the
traditional radar frequency band is difficult to meet the requirements of fine identification with …

This article addresses the usage and scope of Big Data Analytics in video surveillance and
its potential application areas. The current age of technology provides the users, ample …