Abstract: This study is all about the creation of a system using National Instrument - Laboratory Virtual Instrument Engineering Workbench (NI-LabVIEW) to aid in its enhancement. The system aims to ...

We present a modular neural image signal processing (ISP) framework that produces high-quality display-referred images while providing a high degree of modularity with explicit control over multiple ...

The field of optical image processing is undergoing a transformation driven by the rapid development of vision-language models (VLMs). A new review article published in iOptics details how these ...

This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...

With 4 million app downloads, Estonia-based startup Vocal Image aims to help people improve their voice and communication skills with AI-powered coaching. But out of its 160,000 active users, it may ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...

Some critics speculate whether AI tools will replace human designers, but I believe the reality is that generative AI is a new creative sidekick—an assistant that accelerates tedious tasks and unlocks ...

Facebook is asking users for access to their phone’s camera roll to automatically suggest AI-edited versions of their photos — including ones that haven’t been uploaded to Facebook yet. The feature is ...

In this tutorial, we will show you how to upscale an image using Copilot PC. Whether you want to take a large print of a picture, improve old photos, or crop a photo to focus on the content, you can ...

The Allen Telescope Array, Hat Creek Radio Observatory. Credit: Alexander Pollak. Radio interferometry is a technique in radio astronomy where signals from two or more radio telescopes are combined to ...

The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...