A new lens-free imaging system uses software to see finer details from farther away than optical systems ever could before.
Radeon Super Resolution (RSR) back at CES, and it has finally arrived in the latest driver. It uses the same upscaling ...
Abstract: Super-resolution (SR) is a crucial component of end-side image processing tasks in constrained sensor environments. However, the existing convolutional neural networks (CNNs) used for SR ...
YouTube announced in its latest blog post that users who stream videos on their platform via televisions and other larger screens are seeing five new features now, including the new Super Resolution ...
Abstract: High-resolution (HR) imagery plays a crucial role in remote sensing applications such as land-cover classification, environmental monitoring, urban planning, and disaster assessment, yet ...
1 College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China 2 Provincial Key Laboratory for Information Technology of Wisdom Mining of Shandong ...
Introduction: Brain magnetic resonance imaging (MRI) is important for diagnosing Alzheimer’s disease (AD), and MRI acquisition time should be reduced. The current study aimed to identify which Pix2Pix ...
The primary goal of Super-Resolution (SR) is to reconstruct an image of higher quality from an image of lower quality. The Fourier transform helps in this process by recovering lost, high-frequency ...