Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

Millisecond Judgement In the ruthless arena of the digital economy, you do not have the luxury of time. Studies confirm that ...

Nvidia's biggest gaming reveal at CES 2026 was DLSS 4.5, an update for RTX GPUs that can boost frames rendered by six times ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Abstract: Recently, several models based on deep neural networks have achieved great success in terms of both reconstruction accuracy and computational performance for single image super-resolution.

Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...

A new imaging technique turns motion blur into an advantage, using a jiggling camera and a clever algorithm to create super-resolution images sharper than would be possible with a steady camera.

Deep learning-based image steganalysis has progressed in recent times, with efforts more concerted toward prioritizing detection accuracy over lightweight frameworks. In the context of AI-driven ...

Abstract: In this work, we investigate how to increase the resolution of color halftone images using convolutional neural networks (CNNs). As far as we know, this is the first work that increases ...