The whole picture doesn’t become clear until you combine Webb data with Hubble data,” stated Rogier Windhorst, Regents Professor at Arizona State University, captioning a revolution in cosmic vision.

A deep learning technique for the super-resolution of a single image. With our approach, spatial dependencies are captured and end-to-end mapping between the low/high-resolution images is learned. A ...

After months of anticipation, NASA has unveiled the James Webb Space Telescope’s first full-color images, giving us a breathtaking glimpse into the most distant and mysterious parts of the universe.

Astronomers have achieved a first in exoplanet hunting by using the Hubble Space Telescope images to investigate a mysterious ...

Semantic segmentation of high-resolution remote sensing images is vital in downstream applications such as land-cover mapping, urban planning, and disaster assessment. Existing Transformer-based ...