DocScan Pro bridges the gap between raw, distorted image captures and clean, highly readable document formats. Built as a semester project for CS 345 - Digital Image Processing (Air University), this ...

Abstract: Conventional 3-D near-field radar image simulation requires electromagnetic (EM) scattering data collection over a densely sampled frequency-azimuth–elevation sector, resulting in burdensome ...

(Nanowerk Spotlight) In the age of big data, we are generating more images than we can actually process. Autonomous vehicles, medical scanners, and quality control systems rely heavily on ...

Researchers from the University of Tartu Institute of Physics have developed a novel method for enhancing the quality of three-dimensional images by increasing the depth of focus in holograms fivefold ...

DaVinci Resolve may stop with “The GPU failed to perform image processing because of an error.” (Error Code 5). This can break playback, stop effects from ...

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 ...

Apple researchers have developed an AI model that dramatically improves extremely dark photos by integrating a diffusion-based image model directly into the camera’s image processing pipeline, ...

Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS As the demand for artificial intelligence (AI) computing continues to rise, traditional electronic processors ...

Google Cloud’s Universal Ledger (GCUL) was first announced in March with CME Group as a blockchain built for finance. Google's Rich Widmann says GCUL will support Python-based smart contracts and ...