Particle swarm optimization (PSO) is a well-known optimization method used for solving
various optimization problems. However, PSO suffers from premature convergence and is …

We present a new image scaling method both for downscaling and upscaling, running with
any scale factor or desired size. The resized image is achieved by sampling a bivariate …

Lightweight convolutional neural networks for Single Image Super-Resolution (SISR) have
exhibited remarkable performance improvements in recent years. These models achieve …

The Fullbore Formation Micro Imager (FMI) represents a proficient method for examining
subterranean oil and gas deposits. Despite its effectiveness, due to the inherent …

This research addresses the critical challenge of disaster waste management, a growing
concern exacerbated by the increasing frequency and intensity of natural disasters like …

Digital imaging is used in variety of applications. Together with the improvements in artificial
intelligence and its sub-fields, improving computer vision methods to address inter-and multi …

Image downscaling is one of the widely used operations in image processing and computer
graphics. It was recently demonstrated in the literature that kernel-based convolutional filters …

Image resizing (IR) has a crucial role in remote sensing (RS), since an image's level of detail
depends on the spatial resolution of the acquisition sensor; its design limitations; and other …

Accepted: 6 October 2022 Camera is the main tool for monitoring shrimp underwater with a
noninvasive method. Distance of the shrimp underwater with the varying camera causes the …

Although high resolution (HR) depth images are required in many applications such as
virtual reality and autonomous navigation, their resolution and quality generated by …