Tag: super-resolution

Researchers in China have built an explainable deep learning model that analyzes contrast-enhanced CT scans to predict whether non-muscle-invasive bladder ...

A new harmonization-based super-resolution workflow shows that cross-sensor radiometric calibration, not network architecture, is the largest contributor to sharpening free ...

Researchers have developed a pixel-segmenting imaging method that maps intra-pixel quantum efficiency using evolutionary algorithms, reducing the effective sampling unit ...

A new measurement-driven framework reveals that AI-powered video enhancement fundamentally reshapes streaming efficiency, with energy outcomes swinging from 85 percent ...

A hybrid graph neural network and deep unrolling architecture achieves 98 percent success in super-resolution direction-of-arrival estimation while remaining robust ...

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 ...