The growing demand for unmanned vehicles, especially amid the current wave of AI upgrades, heavily relies on advanced image processing capabilities. For drones, various image processing technologies ...

In the late 20th century, when we still captured celestial images on film, the few days around New Moon were the only times we could image deep-sky objects. The grainy, low-sensitivity films we used ...

(Image credit: ATLAS/University of Hawaii/NASA) Astronomers hope to be able to learn more about the comet's exact origins as the sun starts to melt away its outer icy layers over the coming months, ...

This is a simple Python REST API built with Flask that accepts an image as input, performs local histogram equalization on it and returns the image in the response ...

ABSTRACT: Image segmentation denotes a process for partitioning an image into distinct regions, it plays an important role in interpretation and decision making. A large variety of segmentation ...

ABSTRACT: One exciting area within computer vision is classifying human activities, which has diverse applications like medical informatics, human-computer interaction, surveillance, and task ...

🖼️ This repository contains ready to run code for the following image processing techniques: Image Gradient, Image Smoothness, Image Histogram (Intensity Histogram) and Structural Similarity Index ...

1 Department of Communication and Internet Studies, Cyprus University of Technology, Limassol, Cyprus 2 Department of Public Communication, Cyprus University of Technology, Limassol, Cyprus Color ...