Cover Image

Hybrid Deep Learning for Hyperspectral Single Image Super-Resolution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Muhammad, Usman, Laaksonen, Jorma
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)

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

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

A Dual-Domain Convolutional Network for Hyperspectral Single-Image Super-Resolution
by: Karayaka, Murat, et al.
Published: (2025)

A Study in Dataset Distillation for Image Super-Resolution
by: Dietz, Tobias, et al.
Published: (2025)

Dynamic Attention-Guided Diffusion for Image Super-Resolution
by: Moser, Brian B., et al.
Published: (2023)

The Power of Context: How Multimodality Improves Image Super-Resolution
by: Mei, Kangfu, et al.
Published: (2025)

Self-supervised Learning for Hyperspectral Images of Trees
by: Rahman, Moqsadur, et al.
Published: (2025)

Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution
by: Kim, Bryan Sangwoo, et al.
Published: (2026)

VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution
by: Zhu, Yixuan, et al.
Published: (2026)

The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators
by: Sakarvadia, Mansi, et al.
Published: (2025)

Self-Supervised Image Super-Resolution Quality Assessment based on Content-Free Multi-Model Oriented Representation Learning
by: Majlessi, Kian, et al.
Published: (2026)

Hybrid Quantum-Classical Model for Image Classification
by: Shahzad, Muhammad Adnan
Published: (2025)

Diffusion Models, Image Super-Resolution And Everything: A Survey
by: Moser, Brian B., et al.
Published: (2024)

Learning Hyperspectral Images with Curated Text Prompts for Efficient Multimodal Alignment
by: Chatterjee, Abhiroop, et al.
Published: (2025)

Deep Models for Multi-View 3D Object Recognition: A Review
by: Alzahrani, Mona, et al.
Published: (2024)

Label Semantics for Robust Hyperspectral Image Classification
by: Hassan, Rafin, et al.
Published: (2025)

Learning to See More: UAS-Guided Super-Resolution of Satellite Imagery for Precision Agriculture
by: Masrur, Arif, et al.
Published: (2025)

FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion
by: Cazenavette, George, et al.
Published: (2024)

SkipSR: Faster Super Resolution with Token Skipping
by: Choudhury, Rohan, et al.
Published: (2025)

A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift
by: Nagaraju, Sanath Budakegowdanadoddi, et al.
Published: (2024)

Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Model
by: Paeedeh, Naeem, et al.
Published: (2026)

Efficient Document Image Dewarping via Hybrid Deep Learning and Cubic Polynomial Geometry Restoration
by: Istomin, Valery, et al.
Published: (2025)

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging
by: Ali, Mazen, et al.
Published: (2025)

Adaptive Image Registration: A Hybrid Approach Integrating Deep Learning and Optimization Functions for Enhanced Precision
by: De Araujo, Gabriel, et al.
Published: (2023)

Ensemble Deep Learning and LLM-Assisted Reporting for Automated Skin Lesion Diagnosis
by: Khan, Sher, et al.
Published: (2025)

Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
by: Kim, Bryan Sangwoo, et al.
Published: (2025)

Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design
by: Li, Gen, et al.
Published: (2024)

Learning Single-Image Super-Resolution in the JPEG Compressed Domain
by: Srinivasan, Sruthi, et al.
Published: (2025)

Federated Learning for Blind Image Super-Resolution
by: Moser, Brian B., et al.
Published: (2024)

Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution
by: Moser, Brian B., et al.
Published: (2024)

Convolutional Neural Network Ensemble Learning for Hyperspectral Imaging-based Blackberry Fruit Ripeness Detection in Uncontrolled Farm Environment
by: Olisah, Chollette C., et al.
Published: (2024)

CLAReSNet: When Convolution Meets Latent Attention for Hyperspectral Image Classification
by: Bandyopadhyay, Asmit, et al.
Published: (2025)

Handling Geometric Domain Shifts in Semantic Segmentation of Surgical RGB and Hyperspectral Images
by: Seidlitz, Silvia, et al.
Published: (2024)

DWA: Differential Wavelet Amplifier for Image Super-Resolution
by: Moser, Brian B., et al.
Published: (2023)

Composite Classifier-Free Guidance for Multi-Modal Conditioning in Wind Dynamics Super-Resolution
by: Schnell, Jacob, et al.
Published: (2025)

GaussianVAE: Adaptive Learning Dynamics of 3D Gaussians for High-Fidelity Super-Resolution
by: Khalid, Shuja, et al.
Published: (2025)

CAMEL-Bench: A Comprehensive Arabic LMM Benchmark
by: Ghaboura, Sara, et al.
Published: (2024)

Control Your View: High-Resolution Global Semantic Manipulation in Learned Image Compression
by: Liang, Jiaming, et al.
Published: (2026)

Graph Attention-Driven Bayesian Deep Unrolling for Dual-Peak Single-Photon Lidar Imaging
by: Choi, Kyungmin, et al.
Published: (2025)