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An Image Arbitrary-Scale Super-Resolution Network Using Frequency-domain Information

https://doi.org/10.1145/3616376
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-92307-5_45openalex-snapshot
Task-Driven Super Resolution: Object Detection in Low-Resolution Images
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_25openalex-snapshot
Accelerating the Super-Resolution Convolutional Neural Network
inferredcites →https://doi.org/10.1007/s00521-020-04893-9openalex-snapshot
Arbitrary-oriented object detection via dense feature fusion and attention model for remote sensing super-resolution image
inferredcites →https://doi.org/10.1007/s11760-019-01548-8openalex-snapshot
Faster image super-resolution by improved frequency-domain neural networks
inferredcites →https://doi.org/10.1016/j.displa.2022.102220openalex-snapshot
DCT-FANet: DCT based frequency attention network for single image super-resolution
inferredcites →https://doi.org/10.1016/j.image.2014.06.006openalex-snapshot
No-reference image quality assessment based on spatial and spectral entropies
inferredcites →https://doi.org/10.1016/j.inffus.2022.10.007openalex-snapshot
Image super-resolution: A comprehensive review, recent trends, challenges and applications
inferredcites →https://doi.org/10.1109/cvpr.2015.7299003openalex-snapshot
Fast and accurate image upscaling with super-resolution forests
inferredcites →https://doi.org/10.1109/cvpr.2015.7299156openalex-snapshot
Single image super-resolution from transformed self-exemplars
inferredcites →https://doi.org/10.1109/cvpr.2016.182openalex-snapshot
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00262openalex-snapshot
Residual Dense Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2019.00167openalex-snapshot
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00352openalex-snapshot
Image Super-Resolution with Non-Local Sparse Attention
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00852openalex-snapshot
Learning Continuous Image Representation with Local Implicit Image Function
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00557openalex-snapshot
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvprw.2017.148openalex-snapshot
Deep Wavelet Prediction for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvprw.2017.150openalex-snapshot
NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study
inferredcites →https://doi.org/10.1109/iccv48922.2021.00236openalex-snapshot
Fourier Space Losses for Efficient Perceptual Image Super-Resolution
inferredcites →https://doi.org/10.1109/ijcnn.2003.1223944openalex-snapshot
Proceedings Of The International Joint Conference On Neural Networks 2003
inferredcites →https://doi.org/10.1109/lsp.2012.2227726openalex-snapshot
Making a “Completely Blind” Image Quality Analyzer
inferredcites →https://doi.org/10.1109/tci.2021.3070522openalex-snapshot
SRNSSI: A Deep Light-Weight Network for Single Image Super Resolution Using Spatial and Spectral Information
inferredcites →https://doi.org/10.1109/tcsvt.2018.2839879openalex-snapshot
Resolution-Aware Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/tcsvt.2019.2910119openalex-snapshot
Image and Video Compression With Neural Networks: A Review
inferredcites →https://doi.org/10.1109/tcsvt.2019.2946723openalex-snapshot
Low Rank Component Induced Spatial-Spectral Kernel Method for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/tcsvt.2020.2988895openalex-snapshot
Multi-Grained Attention Networks for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/tcsvt.2021.3138431openalex-snapshot
Cross-SRN: Structure-Preserving Super-Resolution Network With Cross Convolution
inferredcites →https://doi.org/10.1109/tcsvt.2022.3192099openalex-snapshot
Learning Dynamic Generative Attention for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/tgrs.2021.3120891openalex-snapshot
Super Resolution Guided Deep Network for Land Cover Classification From Remote Sensing Images
inferredcites →https://doi.org/10.1109/tgrs.2022.3204770openalex-snapshot
CLT-Det: Correlation Learning Based on Transformer for Detecting Dense Objects in Remote Sensing Images
inferredcites →https://doi.org/10.1109/tip.2019.2913500openalex-snapshot
Adaptive Transform Domain Image Super-Resolution via Orthogonally Regularized Deep Networks
inferredcites →https://doi.org/10.1109/tmm.2019.2919431openalex-snapshot
Deep Learning for Single Image Super-Resolution: A Brief Review
inferredcites →https://doi.org/10.1109/tnnls.2020.3028688openalex-snapshot
Wavelet-Based Dual Recursive Network for Image Super-Resolution
inferredcites →https://doi.org/10.1142/s0129065721500374openalex-snapshot
Arbitrary Scale Super-Resolution for Medical Images
inferredcites →https://doi.org/10.1145/3398685openalex-snapshot
Kernel Attention Network for Single Image Super-Resolution
inferredcites →https://doi.org/10.1145/3414838openalex-snapshot
Lightweight Single Image Super-resolution with Dense Connection Distillation Network
inferredcites →https://doi.org/10.1145/3477553openalex-snapshot
Structure-aware Meta-fusion for Image Super-resolution
inferredcites →https://doi.org/10.1145/3532864openalex-snapshot
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution
inferredcites →https://doi.org/10.1145/3570164openalex-snapshot
Efficient Single-image Super-resolution Using Dual path Connections with Multiple scale Learning
inferredcites →https://doi.org/10.1145/3578934openalex-snapshot
HIFGAN: A High-Frequency Information-Based Generative Adversarial Network for Image Super-Resolution
inferredcites →https://doi.org/10.23919/jcc.2022.08.017openalex-snapshot
Arbitrary scale super resolution network for satellite imagery
inferredcites →https://doi.org/10.3390/math10020275openalex-snapshot
Single Image Super-Resolution with Arbitrary Magnification Based on High-Frequency Attention Network
inferredcites →https://doi.org/10.5244/c.26.135openalex-snapshot
Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4899956openalex-extracted
Safasr: An Arbitrary-Scale Image Super-Resolution Network Based on Spatial Frequency Domain Feature Fusion
inferred← citeshttps://doi.org/10.1016/j.cviu.2024.104092openalex-snapshot
Enhanced local distribution learning for real image super-resolution
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112882openalex-snapshot
Omnidirectional image quality assessment using frequency-domain information
inferred← citeshttps://doi.org/10.1109/jiot.2026.3675658openalex-snapshot
SafaSR: An Arbitrary-Scale Image Super-Resolution Network Based on Multidomain Feature Fusion for Enhancing Diverse IoT Vision
inferred← citeshttps://doi.org/10.1109/tce.2025.3580624openalex-snapshot
SFSimNet: An Efficient Spatial-Frequency Multi-Scale Intra-Feature Similarity Measurement Network for Deepfake Detection
inferred← citeshttps://doi.org/10.1145/3701731openalex-snapshot
WTDUN: Wavelet Tree-Structured Sampling and Deep Unfolding Network for Image Compressed Sensing
inferred← citeshttps://doi.org/10.3389/fmars.2026.1762772openalex-snapshot
An attempt at underwater image lightweight super-resolution using transformer and frequency-domain learning
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