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
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
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
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Broadcasting"
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
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
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
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
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
Exploit Camera Raw Data for Video Super- Resolution via Hidden Markov Model Inference
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3049974
Abstract: To the best of our knowledge, the existing deep-learning-based Video Super-Resolution (VSR) methods exclusively make use of videos produced by the Image Signal Processor (ISP) of the camera system as inputs. Such methods are 1)… read more here.
Keywords: resolution; inference; super resolution; video super ... See more keywords
Video Super-Resolution via a Spatio-Temporal Alignment Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3146625
Abstract: Deep convolutional neural network based video super-resolution (SR) models have achieved significant progress in recent years. Existing deep video SR methods usually impose optical flow to wrap the neighboring frames for temporal alignment. However, accurate… read more here.
Keywords: video; super resolution; video super; spatio temporal ... See more keywords
Structure-preserving video super-resolution using three-dimensional convolutional neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.28.2.021007
Abstract: Abstract. Convolutional neural networks (CNN) have given rise to a new generation of video super-resolution (SR) technique. However, most existing CNN-based video SR algorithms treat the consecutive frames as a series of feature maps, just… read more here.
Keywords: video; resolution; super resolution; video super ... See more keywords