Application of convolutional neural networks in image super-resolution
Fuente:
arXiv
Saved in:
| Main Authors: | Tian, Chunwei, Song, Mingjian, Zuo, Wangmeng, Du, Bo, Zhang, Yanning, Zhang, Shichao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Tree-guided CNN for image super-resolution
by: Tian, Chunwei, et al.
Published: (2025)
by: Tian, Chunwei, et al.
Published: (2025)
A self-supervised CNN for image watermark removal
by: Tian, Chunwei, et al.
Published: (2024)
by: Tian, Chunwei, et al.
Published: (2024)
Image super-resolution via dynamic network
by: Tian, Chunwei, et al.
Published: (2023)
by: Tian, Chunwei, et al.
Published: (2023)
Large coordinate kernel attention network for lightweight image super-resolution
by: Hao, Fangwei, et al.
Published: (2024)
by: Hao, Fangwei, et al.
Published: (2024)
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising
by: Li, Junyi, et al.
Published: (2024)
by: Li, Junyi, et al.
Published: (2024)
Heterogeneous window transformer for image denoising
by: Tian, Chunwei, et al.
Published: (2024)
by: Tian, Chunwei, et al.
Published: (2024)
A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks
by: Rafiee, Ahmad Ali, et al.
Published: (2023)
by: Rafiee, Ahmad Ali, et al.
Published: (2023)
Adaptive Convolutional Neural Network for Image Super-resolution
by: Wu, Ziang, et al.
Published: (2024)
by: Wu, Ziang, et al.
Published: (2024)
An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution
by: Duan, Minghong, et al.
Published: (2024)
by: Duan, Minghong, et al.
Published: (2024)
Exposure Bracketing Is All You Need For A High-Quality Image
by: Zhang, Zhilu, et al.
Published: (2024)
by: Zhang, Zhilu, et al.
Published: (2024)
Sparsity-based background removal for STORM super-resolution images
by: Valera, Patris, et al.
Published: (2024)
by: Valera, Patris, et al.
Published: (2024)
Application of attention-based Siamese composite neural network in medical image recognition
by: Huang, Zihao, et al.
Published: (2023)
by: Huang, Zihao, et al.
Published: (2023)
SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolution
by: Arnold, Cyprien, et al.
Published: (2024)
by: Arnold, Cyprien, et al.
Published: (2024)
Real HSI-MSI-PAN image dataset for the hyperspectral/multi-spectral/panchromatic image fusion and super-resolution fields
by: Li, Shuangliang
Published: (2024)
by: Li, Shuangliang
Published: (2024)
Generative artificial intelligence in ophthalmology: multimodal retinal images for the diagnosis of Alzheimer's disease with convolutional neural networks
by: Slootweg, I. R., et al.
Published: (2024)
by: Slootweg, I. R., et al.
Published: (2024)
A reproducible 3D convolutional neural network with dual attention module (3D-DAM) for Alzheimer's disease classification
by: Hoang, Gia Minh, et al.
Published: (2023)
by: Hoang, Gia Minh, et al.
Published: (2023)
Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models
by: Cepeda, Santiago, et al.
Published: (2024)
by: Cepeda, Santiago, et al.
Published: (2024)
Weakly-supervised land classification for coastal zone based on deep convolutional neural networks by incorporating dual-polarimetric characteristics into training dataset
by: Sun, Sheng, et al.
Published: (2020)
by: Sun, Sheng, et al.
Published: (2020)
MDIQA: Unified Image Quality Assessment for Multi-dimensional Evaluation and Restoration
by: Yao, Shunyu, et al.
Published: (2025)
by: Yao, Shunyu, et al.
Published: (2025)
Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification
by: Sahoo, Alok Ranjan, et al.
Published: (2024)
by: Sahoo, Alok Ranjan, et al.
Published: (2024)
Semi-weakly-supervised neural network training for medical image registration
by: Li, Yiwen, et al.
Published: (2024)
by: Li, Yiwen, et al.
Published: (2024)
BloodCell-Net: A lightweight convolutional neural network for the classification of all microscopic blood cell images of the human body
by: Mondal, Sohag Kumar, et al.
Published: (2024)
by: Mondal, Sohag Kumar, et al.
Published: (2024)
Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks
by: Ibañez, Victor, et al.
Published: (2024)
by: Ibañez, Victor, et al.
Published: (2024)
Generative Adversarial Networks for Image Super-Resolution: A Survey
by: Wu, Ziang, et al.
Published: (2022)
by: Wu, Ziang, et al.
Published: (2022)
CrossDiff: Exploring Self-Supervised Representation of Pansharpening via Cross-Predictive Diffusion Model
by: Xing, Yinghui, et al.
Published: (2024)
by: Xing, Yinghui, et al.
Published: (2024)
Bit-depth color recovery via off-the-shelf super-resolution models
by: Fu, Xuanshuo, et al.
Published: (2025)
by: Fu, Xuanshuo, et al.
Published: (2025)
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series
by: Okabayashi, Aimi, et al.
Published: (2024)
by: Okabayashi, Aimi, et al.
Published: (2024)
Image inpainting for corrupted images by using the semi-super resolution GAN
by: Momen-Tayefeh, Mehrshad, et al.
Published: (2024)
by: Momen-Tayefeh, Mehrshad, et al.
Published: (2024)
Temperature calibration of surface emissivities with an improved thermal image enhancement network
by: Chu, Ning, et al.
Published: (2025)
by: Chu, Ning, et al.
Published: (2025)
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction
by: Sanchez, Thomas, et al.
Published: (2025)
by: Sanchez, Thomas, et al.
Published: (2025)
Shape-intensity knowledge distillation for robust medical image segmentation
by: Dong, Wenhui, et al.
Published: (2024)
by: Dong, Wenhui, et al.
Published: (2024)
Time-aware UNet and super-resolution deep residual networks for spatial downscaling
by: Sipilä, Mika, et al.
Published: (2025)
by: Sipilä, Mika, et al.
Published: (2025)
Lung nodule classification on CT scan patches using 3D convolutional neural networks
by: Sydorskyi, Volodymyr
Published: (2026)
by: Sydorskyi, Volodymyr
Published: (2026)
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency
by: Molchanova, Nataliia, et al.
Published: (2023)
by: Molchanova, Nataliia, et al.
Published: (2023)
Predicting ulcer in H&E images of inflammatory bowel disease using domain-knowledge-driven graph neural network
by: Ding, Ruiwen, et al.
Published: (2025)
by: Ding, Ruiwen, et al.
Published: (2025)
Super-resolution in disordered media using neural networks
by: Christie, Alexander, et al.
Published: (2024)
by: Christie, Alexander, et al.
Published: (2024)
Riesz networks: scale invariant neural networks in a single forward pass
by: Barisin, Tin, et al.
Published: (2023)
by: Barisin, Tin, et al.
Published: (2023)
ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentation
by: Chen, Gongping, et al.
Published: (2022)
by: Chen, Gongping, et al.
Published: (2022)
TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs
by: Wang, Fan, et al.
Published: (2024)
by: Wang, Fan, et al.
Published: (2024)
Detection of pulmonary pathologies using convolutional neural networks, Data Augmentation, ResNet50 and Vision Transformers
by: Amador, Pablo Ramirez, et al.
Published: (2024)
by: Amador, Pablo Ramirez, et al.
Published: (2024)
Similar Items
-
A Tree-guided CNN for image super-resolution
by: Tian, Chunwei, et al.
Published: (2025) -
A self-supervised CNN for image watermark removal
by: Tian, Chunwei, et al.
Published: (2024) -
Image super-resolution via dynamic network
by: Tian, Chunwei, et al.
Published: (2023) -
Large coordinate kernel attention network for lightweight image super-resolution
by: Hao, Fangwei, et al.
Published: (2024) -
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising
by: Li, Junyi, et al.
Published: (2024)