This is a tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) ...

This hybrid model aims to reduce computational costs while maintaining high performance in single image super-resolution tasks. The ESRT model demonstrates that it is possible to achieve ...

SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution ...

Most microscopes can only illuminate objects down to a certain size before tiny features blur together. This blurring is known as the diffraction limit of light. Super-resolution imaging techniques, ...

A multidisciplinary team of researchers from Rice and Texas A&M has received a $1.2 million award from the W.M. Keck ...

Recently, the group of Prof. Labao Zhang of Nanjing University, together with the group of researcher Haiyong Gan of the National Institute of Metrology, China, have developed a new thermal radiation ...

Multi Frame Generation is one of the standout features in DLSS 4 and the new Nvidia RTX 50 series GPUs. This review dives ...

PC gaming refuses to slow down, and the technology behind it keeps getting better. The frames displayed on your screen are often no longer a "raw" look at your favorite game, created by your ...

Currently, monitoring refined industries and extracting regional information necessitate higher-resolution remote sensing images. Super-resolution reconstruction of remote sensing multispectral images ...

That’s the date that every NFL team circled on their calendars, well, when Super Bowl LVIII ended a year ago. Now we’re ...