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A team has made a major breakthrough in the field of three-dimensional (3D) imaging of large-scale biological tissues. They ...
Team members started taking on-sky engineering data with Rubin’s LSST Camera on April 15, according to an update posted to an online forum for the Rubin Observatory research community by Keith ...
OpenAI’s endless torrent of major product launches and new features continues this week with the arrival of a library for your ChatGPT image creations. On Tuesday, OpenAI took to X to announce ...
Studio Ghibli Image Trend Explained The trend began when some users noticed GPT-4o's ability to generate high-quality, stylized images from photo uploads combined with detailed prompts.
This project enhances X-ray images using image processing techniques to improve a pneumonia classifier's accuracy from 55% to 95%. It addresses noise, warping, contrast/brightness issues, and missing ...
One of the most promising ways forward involves processing information not with trusty electrons, which have dominated computing for over 50 years, but instead using the flow of photons, minuscule ...
Introduction This GitHub repository is dedicated to the research project "Comparative Analysis of LDR vs. HDR Imaging: Quantifying Luminosity Variability and Sky Dynamics through Image Processing ...
Convolutional neural networks (CNN) have led to a successful breakthrough for hyperspectral image classification (HSIC). Due to the intrinsic spatial-spectral specificities of a hyperspectral cube, ...
We introduce a deep network architecture called DerainNet for removing rain streaks from an image. Based on the deep convolutional neural network (CNN), we directly learn the mapping relationship ...
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