NASA's Solar Dynamics Observatory (SDO) mission gathers 1.4 terabytes of data each day
from its geosynchronous orbit in space. SDO data includes images of the Sun captured at …

Studying the solar system and especially the Sun relies on the data gathered daily from
space missions. These missions are data-intensive and compressing this data to make them …

NASA's Solar Dynamics Observatory (SDO) mission collects large data volumes of the Sun's
daily activity. Data compression is crucial for space missions to reduce data storage and …

NASA's Solar Dynamics Observatory (SDO) mission collects extensive data to monitor the
Sun's daily activity. In the realm of space mission design, data compression plays a crucial …

Neural image compression has gained significant attention thanks to the remarkable
success of deep neural networks. However, most existing neural image codecs focus solely …

This tutorial aims at reviewing the recent progress in the deep learning based data
compression, including image compression and video compression. In the past years, deep …

Explaining the prediction of deep neural networks (DNNs) and semantic image compression
are two active research areas of deep learning with a numerous of applications in decision …

In recent years, the impressive feature representation capabilities of deep learning have
opened up new possibilities for image compression. Most of the existing learning-based …

Lossy image compression can reduce the bandwidth required for image transmission in a
network and the storage space of a device, which is of great value in improving network …

Decoding remote sensing images to achieve high perceptual quality, particularly at low
bitrates, remains a significant challenge. To address this problem, we propose the invertible …