Real-world single image super-resolution: A brief review
Single image super-resolution (SISR), which aims to reconstruct a high-resolution (HR)
image from a low-resolution (LR) observation, has been an active research topic in the area …
image from a low-resolution (LR) observation, has been an active research topic in the area …
[PDF][PDF] A comprehensive review of deep learning-based single image super-resolution
SMA Bashir, Y Wang, M Khan, Y Niu - PeerJ Computer Science, 2021 - peerj.com
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 …
resolution of an image in the field of computer vision. In the last two decades, significant …
Recurrent video restoration transformer with guided deformable attention
Video restoration aims at restoring multiple high-quality frames from multiple low-quality
frames. Existing video restoration methods generally fall into two extreme cases, ie, they …
frames. Existing video restoration methods generally fall into two extreme cases, ie, they …
Rethinking alignment in video super-resolution transformers
The alignment of adjacent frames is considered an essential operation in video super-
resolution (VSR). Advanced VSR models, including the latest VSR Transformers, are …
resolution (VSR). Advanced VSR models, including the latest VSR Transformers, are …
Rstt: Real-time spatial temporal transformer for space-time video super-resolution
Abstract Space-time video super-resolution (STVSR) is the task of interpolating videos with
both Low Frame Rate (LFR) and Low Resolution (LR) to produce High-Frame-Rate (HFR) …
both Low Frame Rate (LFR) and Low Resolution (LR) to produce High-Frame-Rate (HFR) …
A review of image super-resolution approaches based on deep learning and applications in remote sensing
At present, with the advance of satellite image processing technology, remote sensing
images are becoming more widely used in real scenes. However, due to the limitations of …
images are becoming more widely used in real scenes. However, due to the limitations of …
Deep learning-based face super-resolution: A survey
Face super-resolution (FSR), also known as face hallucination, which is aimed at enhancing
the resolution of low-resolution (LR) face images to generate high-resolution face images, is …
the resolution of low-resolution (LR) face images to generate high-resolution face images, is …
A transcoding-enabled 360 VR video caching and delivery framework for edge-enhanced next-generation wireless networks
Virtual reality (VR) content, including 360° panoramic video, provides users with an
immersive multimedia experience and therefore attracts increasing research and …
immersive multimedia experience and therefore attracts increasing research and …
A novel fuzzy hierarchical fusion attention convolution neural network for medical image super-resolution reconstruction
C Wang, X Lv, M Shao, Y Qian, Y Zhang - Information Sciences, 2023 - Elsevier
The clarity of medical images is crucial for doctors to identify and diagnose different
diseases. High-resolution images have more detailed information and clearer content than …
diseases. High-resolution images have more detailed information and clearer content than …
Learning spatial-temporal implicit neural representations for event-guided video super-resolution
Event cameras sense the intensity changes asynchronously and produce event streams with
high dynamic range and low latency. This has inspired research endeavors utilizing events …
high dynamic range and low latency. This has inspired research endeavors utilizing events …