Tag: super-resolution

A new review in PhotoniX Life maps how deep learning is improving fluorescence microscopy across imaging quality, speed, throughput and ...

Mathematicians have proved that AI-powered Plug-and-Play image restoration can converge with far weaker restrictions on the denoising network, certified through ...

Researchers have developed SteleSR, an AI framework that restores weathered ancient stele inscriptions by combining character-structure knowledge from language models ...

Researchers have built a hybrid quantum-classical deep learning model that uses variational quantum circuits and a statistical image prior to ...

Researchers have combined an Enhanced-Value attention scheme within a Swin Transformer with super-resolution-guided training to improve detection of tiny objects ...

A new deep learning network called MHISR reconstructs sharp microscopic hyperspectral images, enabling researchers to quantify rice disease resistance through ...

A new dual-branch deep learning framework combining GAN-based super-resolution and transformer spectral modeling achieves over 99 percent accuracy classifying hyperspectral ...