Video Super-Resolution via Residual Learning
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2829908
Abstract: Convolutional neural networks have been widely applied in many low level vision tasks. In this paper, we propose a video super-resolution (SR) method named enhanced video SR network with residual blocks (EVSR). The proposed EVSR… read more here.
Keywords: video; video super; resolution via; super resolution ... See more keywords
Local-Global Fusion Network for Video Super-Resolution
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DOI: 10.1109/access.2020.3025780
Abstract: The goal of video super-resolution technique is to address the problem of effectively restoring high-resolution (HR) videos from low-resolution (LR) ones. Previous methods commonly used optical flow to perform frame alignment and designed a framework… read more here.
Keywords: video; resolution; global fusion; video super ... See more keywords
Efficient Video Super-Resolution via Hierarchical Temporal Residual Networks
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DOI: 10.1109/access.2021.3098326
Abstract: Super-Resolving (SR) video is more challenging compared with image super-resolution because of the demanding computation time. To enlarge a low-resolution video, the temporal relationship among frames must be fully exploited. We can model video SR… read more here.
Keywords: video; resolution; super resolution; video super ... See more keywords
Learning a Local-Global Alignment Network for Satellite Video Super-Resolution
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3250009
Abstract: Satellite video is a novel data source for earth observation, which can be applied in multiple fields for dynamic monitoring. It is always equipped with high temporal resolution at the cost of low spatial resolution… read more here.
Keywords: network; alignment; video super; resolution ... See more keywords
Video Super-Resolution and Caching—An Edge-Assisted Adaptive Video Streaming Solution
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DOI: 10.1109/tbc.2021.3071010
Abstract: Edge computing provides the potential to improve users’ Quality of Experience (QoE) in ever-increasing video delivery. However, existing edge-based solutions cannot fully utilize the edge computing power and storage capacity. This paper proposes VIdeo Super-resolution… read more here.
Keywords: video; video streaming; super resolution; video super ... See more keywords
Deep Compressed Video Super-Resolution With Guidance of Coding Priors
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DOI: 10.1109/tbc.2024.3394291
Abstract: Compressed video super-resolution (VSR) is employed to generate high-resolution (HR) videos from low-resolution (LR) compressed videos. Recently, some compressed VSR methods have adopted coding priors, such as partition maps, compressed residual frames, predictive pictures and… read more here.
Keywords: video super; coding priors; resolution; compressed video ... See more keywords
VMG: Rethinking U-Net Architecture for Video Super-Resolution
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Broadcasting"
DOI: 10.1109/tbc.2024.3486967
Abstract: The U-Net architecture has exhibited significant efficacy across various vision tasks, yet its adaptation for Video Super-Resolution (VSR) remains underexplored. While the Video Restoration Transformer (VRT) introduced U-Net into the VSR domain, it poses challenges… read more here.
Keywords: video super; net architecture; architecture; super resolution ... See more keywords
Multi-Temporal Ultra Dense Memory Network for Video Super-Resolution
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2019.2925844
Abstract: Video super-resolution (SR) aims to reconstruct the corresponding high-resolution (HR) frames from consecutive low-resolution (LR) frames. It is crucial for video SR to harness both inter-frame temporal correlations and intra-frame spatial correlations among frames. Previous… read more here.
Keywords: video; resolution; super resolution; video super ... See more keywords
Multi-Branch Networks for Video Super-Resolution With Dynamic Reconstruction Strategy
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DOI: 10.1109/tcsvt.2020.3044451
Abstract: Recently, the rapid development of 2-dimensional (2D) convolutional neural networks (CNNs) has driven single image super-resolution (SISR) into a new era, owing to their powerful ability in modeling spatial relation within one single image. However,… read more here.
Keywords: resolution; video super; super resolution; dynamic reconstruction ... See more keywords
Real-Time Lightweight Video Super-Resolution With RRED-Based Perceptual Constraint
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3405827
Abstract: Real-time video services are gaining popularity in our daily life, yet limited network bandwidth can constrain the delivered video quality. Video Super Resolution (VSR) technology emerges as a key solution to enhance user experience by… read more here.
Keywords: quality; video super; real time; time ... See more keywords
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2820807
Abstract: Video super-resolution (SR) aims at estimating a high-resolution video sequence from a low-resolution (LR) one. Given that the deep learning has been successfully applied to the task of single image SR, which demonstrates the strong… read more here.
Keywords: learning temporal; resolution; video super; super resolution ... See more keywords