Image super-resolution (SR) is one of the vital image processing methods that improve the
resolution of an image in the field of computer vision. In the last two decades, significant …

With the advent of Deep Learning (DL), Super-Resolution (SR) has also become a thriving
research area. However, despite promising results, the field still faces challenges that …

Image Super-Resolution (SR) is an important class of image processing techniqueso
enhance the resolution of images and videos in computer vision. Recent years have …

Due to the importance of coastline detection in coastal studies, different methods have been
developed in recent decades in accordance with the evolution of measuring techniques …

Single Image Super Resolution (SISR) reconstruction aims to recover high-resolution
images from corresponding Low-Resolution (LR) versions, which is essentially an ill-posed …

Image Super-Resolution (SR) techniques improve visual quality by enhancing the spatial
resolution of images. Quality evaluation metrics play a critical role in comparing and …

Video super-resolution is currently one of the most active research topics in computer vision
as it plays an important role in many visual applications. Generally, video super-resolution …

图像超分辨率重建技术的本质是突破现有硬件条件的限制, 通过算法将低分辨率图像重建为高
分辨率图像, 获得包含更多信息的图像的技术. 随着深度学习理论和技术的迅速发展 …

The lack of resolution has a negative impact on the performance of image-based biometrics.
While many generic super-resolution methods have been proposed to restore low-resolution …

Image super-resolution (SR) is the process of restoration of high-resolution (HR) image from
its degraded images/image. Exigency of high-quality images in different technical fields has …