Due to the importance of underwater exploration in the development and utilization of deep‐
sea resources, underwater autonomous operation is more and more important to avoid the …

Particle swarm optimization (PSO) is a popular heuristic method, which is capable of
effectively dealing with various optimization problems. A detailed overview of the original …

Satellite images often have very narrow brightness value ranges, so it is necessary to
enhance the contrast and brightness, maintain the quality of visual information, and preserve …

Image enhancement is an essential step in image analysis and processing as it helps
people to recognize and understand images because their perception is greatly influenced …

In recent times, nutrition recommendation system has gained increasing attention due to
their need for healthy living. Current studies on the food domain deal with a …

Satellite images normally possess relatively narrow brightness value ranges necessitating
the requirement for contrast stretching, preserving the relevant details before further image …

In this paper, we propose a hybrid algorithm including Genetic Algorithm (GA), Ant Colony
Optimisation (ACO), and Simulated Annealing (SA) metaheuristics for increasing the …

Owing to the increased demand for satellite images for various practical applications, the
use of proper enhancement methods are inevitable. Visual enhancement of such images …

This paper proposes the Shrike Optimization Algorithm (SHOA) as a swarm intelligence
optimization algorithm. Many creatures, who live in groups and survive for the next …

Thermal images suffer from low-luminance issues under specific conditions, such as heat
radiation, distance-to-radiated objects, reflection angles. Low-luminance thermal images …