Researchers have developed a novel computational imaging system that integrates optical compression and deep learning to ...

1 The First Clinical Medical College, The Affiliated People’s Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China 2 The Affiliated People’s Hospital of Fujian ...

John Peterson does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

intoPIX’s JPEG XS and TicoRAW technologies offer ultra-low latency (<1ms), low-power, and mathematically lossless and near-lossless compression in compliance with ISO standards. Designed for use ...

Abstract: Learning-based image compression algorithms typically focus on designing encoding and decoding networks and improving the accuracy of entropy model estimation to enhance the rate-distortion ...

Abstract: Due to the abundance of the new digital media data, the issue of image quality and volume of data requiring compression has become a significant factor of concern, especially in media ...

Clustering methods are widely used in pattern recognition, data compression, data mining, but the problem of using them in real-time systems has not been a focus of most algorithm designers. In this ...