Vision transformers have garnered substantial attention and attained impressive performance in image super-resolution tasks. Nevertheless, these networks face challenges associated with attention ...

In recent years, single image super-resolution (SISR) based on deep learning has achieved excellent results. However, the consequent elevated computational and storage expenses limit its ...

Super-resolution (SR) technology plays a pivotal role in enhancing the quality of images. SR reconstruction aims to generate high-resolution images from low-resolution ones. Traditional methods often ...

Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...

Example of super-resolution microscopy: The image shows how the Discrete Molecular Imaging (DMI) technology visualizes densely packed individual targets that are just 5 nanometer apart from each other ...

Microsoft is testing a new "Automatic Super Resolution" AI-assisted upscaling feature that increases the video and image quality of supported games while also making them run more smoothly. Upscaling ...