Cover Image

Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Hao, Wang, Zixiang, Xu, Zhengjia, Wang, Zhuoyue, Wu, Zhizhong, Lyu, Ranran
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Convolutional Neural Network for Image Super-resolution
by: Wu, Ziang, et al.
Published: (2024)

Information Prebuilt Recurrent Reconstruction Network for Video Super-Resolution
by: Wang, Shuyun, et al.
Published: (2021)

Multi-scale Attention Network for Single Image Super-Resolution
by: Wang, Yan, et al.
Published: (2022)

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)

Iterative Network for Image Super-Resolution
by: Liu, Yuqing, et al.
Published: (2020)

Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image
by: Xu, Shuang, et al.
Published: (2024)

Efficient Star Distillation Attention Network for Lightweight Image Super-Resolution
by: Hao, Fangwei, et al.
Published: (2025)

Cuboid-Net: A Multi-Branch Convolutional Neural Network for Joint Space-Time Video Super Resolution
by: Fu, Congrui, et al.
Published: (2024)

SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings
by: Wei, Renjie, et al.
Published: (2023)

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network
by: Muhammad, Usman, et al.
Published: (2025)

Efficient Image Super-Resolution via Symmetric Visual Attention Network
by: Wu, Chengxu, et al.
Published: (2024)

Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution
by: Peng, Long, et al.
Published: (2024)

Infrared Image Super-Resolution via Lightweight Information Split Network
by: Liu, Shijie, et al.
Published: (2024)

Learning the Degradation Distribution for Blind Image Super-Resolution
by: Luo, Zhengxiong, et al.
Published: (2022)

Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution
by: Ito, Ru, et al.
Published: (2025)

Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution
by: Ma, Wen, et al.
Published: (2024)

Generative Adversarial Networks for Image Super-Resolution: A Survey
by: Wu, Ziang, et al.
Published: (2022)

Arctic Sea Ice Image Super-Resolution Based on Multi-Scale Convolution and Dual-Gating Mechanism
by: Fang, Zhaomin, et al.
Published: (2024)

PIDSR: Complementary Polarized Image Demosaicing and Super-Resolution
by: Zhou, Shuangfan, et al.
Published: (2025)

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution
by: Kui, Xiaoyan, et al.
Published: (2025)

LKFormer: Large Kernel Transformer for Infrared Image Super-Resolution
by: Qin, Feiwei, et al.
Published: (2024)

High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging
by: Wu, Yinzhe, et al.
Published: (2023)

A Systematic Survey of Deep Learning-based Single-Image Super-Resolution
by: Li, Juncheng, et al.
Published: (2021)

Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network
by: Pan, Gang, et al.
Published: (2024)

LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution
by: Kasliwal, Aditya, et al.
Published: (2024)

Perceptual Quality Optimization of Image Super-Resolution
by: Zhou, Wei, et al.
Published: (2026)

Guidance Disentanglement Network for Optics-Guided Thermal UAV Image Super-Resolution
by: Zhao, Zhicheng, et al.
Published: (2024)

One-Step Effective Diffusion Network for Real-World Image Super-Resolution
by: Wu, Rongyuan, et al.
Published: (2024)

Unsupervised Image Super-Resolution Reconstruction Based on Real-World Degradation Patterns
by: Tie, Yiyang, et al.
Published: (2025)

Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network
by: Piccinini, Davide, et al.
Published: (2025)

HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-Resolution
by: Li, Baisong, et al.
Published: (2025)

Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization Problem
by: Zhu, Qiwen, et al.
Published: (2024)

Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach
by: Wu, Gang, et al.
Published: (2024)

Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution
by: Aghelan, Alireza, et al.
Published: (2022)

Neuromorphic Imaging with Super-Resolution
by: Zhang, Pei, et al.
Published: (2024)

Structural Similarity-Inspired Unfolding for Lightweight Image Super-Resolution
by: Ni, Zhangkai, et al.
Published: (2025)

Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues
by: Wang, Mingshen, et al.
Published: (2024)

LFMamba: Light Field Image Super-Resolution with State Space Model
by: xia, Wang, et al.
Published: (2024)

Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks
by: Hong, Cheeun, et al.
Published: (2023)

Dual-domain Modulation Network for Lightweight Image Super-Resolution
by: Li, Wenjie, et al.
Published: (2025)