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SDNet: A Versatile Squeeze-and-Decomposition Network for Real-Time Image Fusion

https://doi.org/10.1007/s11263-021-01501-8
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Microsoft COCO: Common Objects in Context
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SESF-Fuse: an unsupervised deep model for multi-focus image fusion
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Multiscale Fusion of Visible and Thermal IR Images for Illumination-Invariant Face Recognition
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A Variational Model for P+XS Image Fusion
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Image Matching from Handcrafted to Deep Features: A Survey
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Fusion of multi-exposure images
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Multi-focus image fusion with dense SIFT
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Multi-focus image fusion using dictionary-based sparse representation
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Infrared and visible image fusion via gradient transfer and total variation minimization
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Multi-focus image fusion with a deep convolutional neural network
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FusionGAN: A generative adversarial network for infrared and visible image fusion
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A Phase Congruency and Local Laplacian Energy Based Multi-Modality Medical Image Fusion Method in NSCT Domain
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CT and MR Image Fusion Based on Adaptive Structure Decomposition
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Densely Connected Convolutional Networks
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A Variational Pan-Sharpening With Local Gradient Constraints
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Fast-FMI: Non-reference image fusion metric
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DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs
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A Multi-Exposure Image Fusion Based on the Adaptive Weights Reflecting the Relative Pixel Intensity and Global Gradient
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MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes
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Pyramid Fully Convolutional Network for Hyperspectral and Multispectral Image Fusion
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Adaptive medical image visualization based on hierarchical neural networks and intelligent decision fusion
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Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion
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Exposure Fusion Using Boosting Laplacian Pyramid
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Image Fusion With Guided Filtering
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Exploring Visual and Motion Saliency for Automatic Video Object Extraction
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Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach
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Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images
inferredcites →https://doi.org/10.1109/tip.2018.2887342openalex-snapshot
DenseFuse: A Fusion Approach to Infrared and Visible Images
inferredcites →https://doi.org/10.1109/tip.2020.2975984openalex-snapshot
MDLatLRR: A Novel Decomposition Method for Infrared and Visible Image Fusion
inferredcites →https://doi.org/10.1109/tip.2020.2977573openalex-snapshot
DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion
inferredcites →https://doi.org/10.1109/tip.2020.2999855openalex-snapshot
MEF-GAN: Multi-Exposure Image Fusion via Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/tpami.2015.2417569openalex-snapshot
Multispectral Joint Image Restoration via Optimizing a Scale Map
inferredcites →https://doi.org/10.1109/tpami.2020.3012548openalex-snapshot
U2Fusion: A Unified Unsupervised Image Fusion Network
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Assessment of image fusion procedures using entropy, image quality, and multispectral classification
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Multi-Exposure and Multi-Focus Image Fusion in Gradient Domain
inferredcites →https://doi.org/10.1145/1873951.1874249openalex-snapshot
Vlfeat
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Pixel-level Image Fusion using Wavelets and Principal Component Analysis
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Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity
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A medical image fusion method based on convolutional neural networks

What points at this work

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

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DIFusion: Multimodal medical image fusion based on detail preservation and invertible neural networks
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SDFusion: Fractional-order structural tensor-guided dynamic frequency enhancement network for medical image fusion
inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110075openalex-snapshot
A multi-scale expert gating network with cross-modal attention for multimodal medical image fusion
inferred← citeshttps://doi.org/10.1016/j.cam.2026.117530openalex-snapshot
Infrared and visible image fusion via a first-order piecewise regularization and an IPADMM
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.106620openalex-snapshot
DAGM-fusion: A dual-path CT-MRI image fusion model based multi-axial gated MLP
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2023.106923openalex-snapshot
M 4 FNet : Multimodal medical image fusion network via multi-receptive-field and multi-scale feature integration
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108381openalex-snapshot
LRFNet: A real-time medical image fusion method guided by detail information
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108463openalex-snapshot
DesTrans: A medical image fusion method based on Transformer and improved DenseNet
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110238openalex-snapshot
Multi-focus image fusion with visual state space model and dual adversarial learning
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110469openalex-snapshot
A robust multi-scale feature fusion model for low-quality multi-source data in underwater environments
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110672openalex-snapshot
CPIGAN: Infrared and visible image fusion via cross-scale progressive interaction network with adversarial learning
inferred← citeshttps://doi.org/10.1016/j.cviu.2022.103407openalex-snapshot
CUFD: An encoder–decoder network for visible and infrared image fusion based on common and unique feature decomposition
inferred← citeshttps://doi.org/10.1016/j.cviu.2022.103598openalex-snapshot
Infrared and visible image fusion using a guiding network to leverage perceptual similarity
inferred← citeshttps://doi.org/10.1016/j.cviu.2023.103781openalex-snapshot
Joint coupled dictionaries-based visible-infrared image fusion method via texture preservation structure in sparse domain
inferred← citeshttps://doi.org/10.1016/j.cviu.2024.104218openalex-snapshot
UUD-Fusion: An unsupervised universal image fusion approach via generative diffusion model
inferred← citeshttps://doi.org/10.1016/j.cviu.2025.104557openalex-snapshot
HADF: A hybrid attention and dual-branch feature fusion method for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.cviu.2026.104882openalex-snapshot
DepthFusion: Depth-assisted infrared–visible image fusion
inferred← citeshttps://doi.org/10.1016/j.displa.2024.102903openalex-snapshot
SPFusion: A multi-task semantic perception infrared and visible light fusion method with quality assessment
inferred← citeshttps://doi.org/10.1016/j.displa.2026.103663openalex-snapshot
Stage-Aware Multilevel Feature Interaction and Fusion for RGB–Thermal Object Detection
inferred← citeshttps://doi.org/10.1016/j.dsp.2022.103881openalex-snapshot
PSMFF: A progressive series-parallel modality feature filtering framework for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.dsp.2023.103910openalex-snapshot
Infrared-visible image fusion method based on sparse and prior joint saliency detection and LatLRR-FPDE
inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104473openalex-snapshot
Focus-aware and deep restoration network with transformer for multi-focus image fusion
inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104592openalex-snapshot
Multi-focus image fusion based on multiscale fuzzy quality assessment
inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104741openalex-snapshot
MADMFuse: A multi-attribute diffusion model to fuse infrared and visible images
inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104806openalex-snapshot
MMCL: Meta-mutual contrastive learning for multi-modal medical image fusion
inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104853openalex-snapshot
MSL-CCRN: Multi-stage self-supervised learning based cross-modality contrastive representation network for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.dsp.2024.104864openalex-snapshot
ALFusion: Adaptive fusion for infrared and visible images under complex lighting conditions
inferred← citeshttps://doi.org/10.1016/j.dsp.2025.105033openalex-snapshot
FMamba: Multimodal image fusion driven by state space models
inferred← citeshttps://doi.org/10.1016/j.dsp.2025.105200openalex-snapshot
SDATFuse: Sparse dual aggregation transformer-based network for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.dsp.2026.105991openalex-snapshot
MWEFusion: Multi-scale wavelet-based feature enhancement network for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103952openalex-snapshot
FF-fusion: A knowledge-distilled lightweight visible–infrared image fusion framework for Forest fire monitoring
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.105919openalex-snapshot
RGB-T image analysis technology and application: A survey
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107741openalex-snapshot
Smooth fusion of multi-spectral images via total variation minimization for traffic scene semantic segmentation
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.107898openalex-snapshot
SCGRFuse: An infrared and visible image fusion network based on spatial/channel attention mechanism and gradient aggregation residual dense blocks
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.107905openalex-snapshot
ASFusion: Adaptive visual enhancement and structural patch decomposition for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108013openalex-snapshot
An efficient frequency domain fusion network of infrared and visible images
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109192openalex-snapshot
FCLFusion: A frequency-aware and collaborative learning for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111123openalex-snapshot
LIVFusion: Luminance-optimized fusion of infrared and visible images with wavelet transformer
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111728openalex-snapshot
Multi-scale frequency attention fusion network for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112667openalex-snapshot
One-shot multi-focus image stack fusion via focal depth regression
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115218openalex-snapshot
Progressive dynamic Taylor unfolding network for multi-modal image fusion
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115629openalex-snapshot
Deep unrolling for framelet-based multi-modal image fusion
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119909openalex-snapshot
AIM-MEF: Multi-exposure image fusion based on adaptive information mining in both spatial and frequency domains
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120301openalex-snapshot
Medical image fusion based on extended difference-of-Gaussians and edge-preserving
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121299openalex-snapshot
Parallel wavelet networks incorporating modality adaptation for hyperspectral image super-resolution
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121363openalex-snapshot
Trans2Fuse: Empowering image fusion through self-supervised learning and multi-modal transformations via transformer networks
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121664openalex-snapshot
FusionDiff: Multi-focus image fusion using denoising diffusion probabilistic models
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123470openalex-snapshot
CROSE: Low-light enhancement by CROss-SEnsor interaction for nighttime driving scenes
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124125openalex-snapshot
LRFE-CL: A self-supervised fusion network for infrared and visible image via low redundancy feature extraction and contrastive learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125014openalex-snapshot
IMQFusion: Infrared and visible image fusion via implicit multi-resolution preservation and query aggregation
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125427openalex-snapshot
MixFuse: An iterative mix-attention transformer for multi-modal image fusion
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125682openalex-snapshot
A novel infrared and visible image fusion network based on cross-modality reinforcement and multi-attention fusion strategy
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125694openalex-snapshot
AFDFusion: An adaptive frequency decoupling fusion network for multi-modality image
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128956openalex-snapshot
Polarization-enhanced GFNet for glint-influenced water surface object segmentation
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129161openalex-snapshot
Diffusion prior guided deep model driven network for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130610openalex-snapshot
DSKFuse: Passive-active distillation learning for multi-modal image fusion via dynamic sparse kansformer
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130798openalex-snapshot
TSDFuse: Teacher-student supervised explicit decoupling of shared and distinct features for infrared-visible image fusion
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.131570openalex-snapshot
A novel implicit cross-attention framework for RGB-T object detection
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133550openalex-snapshot
Detection-as-strategy for SAR–visible image fusion: Reliability-constrained aggregation and prior-guided modulation
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134073openalex-snapshot
FGI-net: A frequency-guided invertible network for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.icte.2025.06.012openalex-snapshot
A lightweight remote sensing image fusion method for vehicle perception
inferred← citeshttps://doi.org/10.1016/j.ijleo.2023.171139openalex-snapshot
A Generative Adversarial Network for infrared and visible image fusion using adaptive dense generator and Markovian discriminator
inferred← citeshttps://doi.org/10.1016/j.image.2025.117324openalex-snapshot
An unsupervised fusion method for infrared and visible image under low-light condition based on Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1016/j.image.2025.117364openalex-snapshot
WITHDRAWN: An Efficient Fusion of Infrared and Visible Images using an Optimized Deep Learning Model with Decomposed Non-Subsampled Shearlet Structural Patch Transform
inferred← citeshttps://doi.org/10.1016/j.image.2026.117581openalex-snapshot
Robust multi-modal segmentation via Cosine Contrastive adversarial attacks and meta-learning adaptation
inferred← citeshttps://doi.org/10.1016/j.image.2026.117588openalex-snapshot
DSFFNet: Multimodal medical image fusion based on Dual-stream Feature Fusion Network
inferred← citeshttps://doi.org/10.1016/j.imavis.2023.104891openalex-snapshot
Improving multi-focus image fusion through Noisy image and feature difference network
inferred← citeshttps://doi.org/10.1016/j.imavis.2024.104957openalex-snapshot
PTET: A progressive token exchanging transformer for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.imavis.2024.105344openalex-snapshot
Infrared and visible image fusion using quantum computing induced edge preserving filter
inferred← citeshttps://doi.org/10.1016/j.imavis.2025.105494openalex-snapshot
Rif-Diff: Improving image fusion based on diffusion model via residual prediction
inferred← citeshttps://doi.org/10.1016/j.imavis.2025.105763openalex-snapshot
EDFusion: Edge-guided attention and dynamic receptive field with dense residual for multi-focus image fusion
inferred← citeshttps://doi.org/10.1016/j.imavis.2025.105796openalex-snapshot
W-MambaFuse: A wavelet decomposition and adaptive state-space modeling approach for anatomical and functional image fusion
inferred← citeshttps://doi.org/10.1016/j.imavis.2026.105960openalex-snapshot
FPFusion: Fourier frequency-prior guidance for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.imavis.2026.106112openalex-snapshot
Q-PEIFN: A multimodal image fusion method based on quality-aware progressive enhanced low-rank representation
inferred← citeshttps://doi.org/10.1016/j.imavis.2026.106136openalex-snapshot
FM-MFIF: A motion-aware multi-focus image fusion network based on multi-scale focus migration
inferred← citeshttps://doi.org/10.1016/j.imavis.2026.106149openalex-snapshot
SETFusion: Dual-domain feature learning with Spectral-Enhanced Transformer for infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.inffus.2021.06.008openalex-snapshot
Image fusion meets deep learning: A survey and perspective
inferred← citeshttps://doi.org/10.1016/j.inffus.2021.10.006openalex-snapshot
Multi-exposure image fusion via deep perceptual enhancement
inferred← citeshttps://doi.org/10.1016/j.inffus.2021.12.004openalex-snapshot
Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.03.007openalex-snapshot
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.06.008openalex-snapshot
Locality guided cross-modal feature aggregation and pixel-level fusion for multispectral pedestrian detection
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.07.013openalex-snapshot
UIFGAN: An unsupervised continual-learning generative adversarial network for unified image fusion
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.09.019openalex-snapshot
Current advances and future perspectives of image fusion: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.10.034openalex-snapshot
DIVFusion: Darkness-free infrared and visible image fusion
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.11.010openalex-snapshot
MUFusion: A general unsupervised image fusion network based on memory unit
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.11.014openalex-snapshot
ZMFF: Zero-shot multi-focus image fusion
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.11.020openalex-snapshot
LRINet: Long-range imaging using multispectral fusion of RGB and NIR images
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.12.002openalex-snapshot
Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.12.005openalex-snapshot
Boosting target-level infrared and visible image fusion with regional information coordination
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.12.022openalex-snapshot
A perceptual framework for infrared–visible image fusion based on multiscale structure decomposition and biological vision
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.02.011openalex-snapshot
Feature dynamic alignment and refinement for infrared–visible image fusion: Translation robust fusion
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.02.031openalex-snapshot
IID-MEF: A multi-exposure fusion network based on intrinsic image decomposition
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.03.012openalex-snapshot
MOFA: A novel dataset for Multi-modal Image Fusion Applications
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101863openalex-snapshot
Real-time infrared and visible image fusion network using adaptive pixel weighting strategy
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102230openalex-snapshot
New insights into multi-focus image fusion: A fusion method based on multi-dictionary linear sparse representation and region fusion model
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102274openalex-snapshot
DT-F Transformer: Dual transpose fusion transformer for polarization image fusion
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102359openalex-snapshot
Frequency Integration and Spatial Compensation Network for infrared and visible image fusion
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