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1706
AWGN, Databases, Distortion, Histograms, Image fusion, Sensors,
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Image processing, Digital image processing, Fusion
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Image processing, Machine vision, Fusion
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1712
Distribution functions, Entropy, Filtering algorithms,
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Near-infrared and visible images, Super-resolution,
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Improved visual/infrared colour fusion method with double-opponency
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1903
Feature extraction, Decoding, Image coding, Image reconstruction,
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1909
Feature extraction, Training, Benchmark testing,
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Image fusion, image contrast, structure tensor,
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Image matching, Visible and infrared images,
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Image saliency detection, RGB-thermal fusion,
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Optimization, Estimation, Adaptation models, Feature extraction,
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2003
Image fusion, Task analysis, Transforms, Matrix decomposition,
Sparse matrices, Feature extraction, Image decomposition,
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Registration, Non-rigid transformation, Infrared image, Image fusion
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Image fusion, Infrared, Consensus, Total variation, ADMM
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Spectrum Characteristics Preserved Visible and Near-Infrared Image
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IEEE DOI
2012
Image color analysis, Scattering, Lighting, Degradation, Distortion,
Image fusion, Indexes, Image Fusion, near infrared, image enhancement
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Li, L.[Lei],
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Han, H.J.[Hui-Jian],
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Infrared and visible image fusion using a shallow CNN and structural
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Infrared and visible image fusion using multi-scale NSCT and
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2104
Image fusion, Feature extraction, Superresolution,
Spatial resolution, Frequency modulation, Sensor fusion,
super-resolution
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IEEE DOI
2105
Image fusion, Generative adversarial networks,
Feature extraction, Transforms, Generators, Fuses,
infrared and visible image fusion
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Gao, C.Q.[Chen-Qiang],
Zhao, Y.[Yue],
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Infrared and Visible Image Registration Using Transformer Adversarial
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ICIP18(1248-1252)
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1809
Image registration, Task analysis, Training,
Feature extraction, Imaging, Transforms, Image Registration,
Infrared Image
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Budhiraja, S.[Sumit],
Rummy, I.[Iftisam],
Agrawal, S.I.[Sun-Il],
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Infrared and Visible Image Fusion Based on Sparse Representation and
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Herrera-Arellano, M.[María],
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Visible-NIR Image Fusion Based on Top-Hat Transform,
IP(30), 2021, pp. 4962-4972.
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2106
Image color analysis, Image fusion, Transforms,
Image edge detection, Entropy, Color, Morphology, V-NIR image fusion,
mathematical morphology
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Liu, G.[Gang],
Xiao, G.[Gang],
Tang, L.[Lili],
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JCa2Co: A joint cascade convolution coding network based on fuzzy
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Tan, M.J.[Min-Jie],
Gao, S.B.[Shao-Bing],
Xu, W.Z.[Wen-Zheng],
Han, S.C.[Song-Chen],
Visible-Infrared Image Fusion Based on Early Visual Information
Processing Mechanisms,
CirSysVideo(31), No. 11, November 2021, pp. 4357-4369.
IEEE DOI
2112
Image color analysis, Visualization, Adaptation models,
Radio frequency, Task analysis, Fuses, Brain modeling, Image fusion,
visible and infrared image processing
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Yang, Y.[Yong],
Liu, J.X.[Jia-Xiang],
Huang, S.Y.[Shu-Ying],
Wan, W.G.[Wei-Guo],
Wen, W.Y.[Wen-Ying],
Guan, J.W.[Ju-Wei],
Infrared and Visible Image Fusion via Texture Conditional Generative
Adversarial Network,
CirSysVideo(31), No. 12, December 2021, pp. 4771-4783.
IEEE DOI
2112
Image fusion, Generators, Information filters,
Generative adversarial networks, Feature extraction,
multiple decision maps
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Qi, B.[Biao],
Jin, L.X.[Long-Xu],
Li, G.[Guoning],
Zhang, Y.[Yu],
Li, Q.[Qiang],
Bi, G.L.[Guo-Ling],
Wang, W.H.[Wen-Hua],
Infrared and Visible Image Fusion Based on Co-Occurrence Analysis
Shearlet Transform,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link
2201
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Bhutto, J.A.[Jameel Ahmed],
Tian, L.[Lianfang],
Du, Q.L.[Qi-Liang],
Sun, Z.Z.[Zheng-Zheng],
Yu, L.[Lubin],
Soomro, T.A.[Toufique Ahmed],
An Improved Infrared and Visible Image Fusion Using an Adaptive
Contrast Enhancement Method and Deep Learning Network with Transfer
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RS(14), No. 4, 2022, pp. xx-yy.
DOI Link
2202
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Zhao, Z.X.[Zi-Xiang],
Xu, S.[Shuang],
Zhang, J.S.[Jiang-She],
Liang, C.Y.[Cheng-Yang],
Zhang, C.X.[Chun-Xia],
Liu, J.[Junmin],
Efficient and Model-Based Infrared and Visible Image Fusion via
Algorithm Unrolling,
CirSysVideo(32), No. 3, March 2022, pp. 1186-1196.
IEEE DOI
2203
Optimization, Image fusion, Feature extraction, Task analysis,
Kernel, Decoding, Neural networks, Image fusion,
model-based network structure
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Nie, R.[Rencan],
Ma, C.Z.[Chao-Zhen],
Cao, J.[Jinde],
Ding, H.W.[Hong-Wei],
Zhou, D.M.[Dong-Ming],
A Total Variation With Joint Norms For Infrared and Visible Image
Fusion,
MultMed(24), 2022, pp. 1460-1472.
IEEE DOI
2204
Image fusion, Estimation, Degradation, Task analysis, Fuses,
Biomedical imaging, TV, Infrared and visible image fusion,
weight estimation
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Chen, J.F.[Jin-Fen],
Cheng, B.[Bo],
Zhang, X.P.[Xiao-Ping],
Long, T.F.[Teng-Fei],
Chen, B.[Bo],
Wang, G.Z.[Gui-Zhou],
Zhang, D.G.[De-Gang],
A TIR-Visible Automatic Registration and Geometric Correction Method
for SDGSAT-1 Thermal Infrared Image Based on Modified RIFT,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link
2204
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Wang, H.M.[Hong-Mei],
An, W.B.[Wen-Bo],
Li, L.[Lin],
Li, C.K.[Chen-Kai],
Zhou, D.M.[Da-Ming],
Infrared and visible image fusion based on multi-channel
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IET-IPR(16), No. 6, 2022, pp. 1575-1584.
DOI Link
2204
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Xu, H.[Han],
Gong, M.[Meiqi],
Tian, X.[Xin],
Huang, J.[Jun],
Ma, J.Y.[Jia-Yi],
CUFD: An encoder-decoder network for visible and infrared image
fusion based on common and unique feature decomposition,
CVIU(218), 2022, pp. 103407.
Elsevier DOI
2205
Image fusion, Infrared, Visible, Feature map, Encoder-decoder
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Ruan, Z.Q.[Zhi-Qiang],
Wan, J.[Jie],
Xiao, G.[Guobao],
Tang, Z.M.[Zhi-Min],
Ma, J.Y.[Jia-Yi],
Semantic attention-based heterogeneous feature aggregation network
for image fusion,
PR(155), 2024, pp. 110728.
Elsevier DOI
2408
Image fusion, High-level vision tasks, Attention mechanism, Semantic prior
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Qiu, X.F.[Xian-Fei],
Zhao, H.J.[Hui-Jie],
Jia, G.R.[Guo-Rui],
Li, J.Y.[Ji-Yuan],
Atmosphere and Terrain Coupling Simulation Framework for
High-Resolution Visible-Thermal Spectral Imaging over Heterogeneous
Land Surface,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Zhou, W.[Wujie],
Lin, X.Y.[Xin-Yang],
Lei, J.S.[Jing-Sheng],
Yu, L.[Lu],
Hwang, J.N.[Jenq-Neng],
MFFENet: Multiscale Feature Fusion and Enhancement Network For
RGB-Thermal Urban Road Scene Parsing,
MultMed(24), 2022, pp. 2526-2538.
IEEE DOI
2205
Autonomous driving, urban road scene,
semantic segmentation, thermal image, multi-task supervision
BibRef
Özer, S.[Sedat],
Ege, M.[Mert],
Özkanoglu, M.A.[Mehmet Akif],
SiameseFuse: A computationally efficient and a not-so-deep network to
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PR(129), 2022, pp. 108712.
Elsevier DOI
2206
Multi-temporal fusion, Efficient learning, Multi-modal fusion
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Wang, Z.S.[Zhi-She],
Wang, J.Y.[Jun-Yao],
Wu, Y.Y.[Yuan-Yuan],
Xu, J.W.[Jia-Wei],
Zhang, X.Q.[Xiao-Qin],
UNFusion: A Unified Multi-Scale Densely Connected Network for
Infrared and Visible Image Fusion,
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IEEE DOI
2206
Feature extraction, Image fusion, Image reconstruction,
Task analysis, Decoding, Training, Learning systems, Image fusion,
visible image
BibRef
Zhang, Z.H.[Zi-Han],
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Elsevier DOI
2206
Image fusion, Infrared image, Visible image, Style loss, Style transfer
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Gao, X.Y.[Xu-Yang],
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Infrared and Visible Image Fusion with Deep Neural Network in
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Infrared and Visible Image Fusion Based on Deep Decomposition Network
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MultMed(24), 2022, pp. 3314-3326.
IEEE DOI
2207
Feature extraction, Image fusion, Task analysis, Fuses,
Visualization, Image edge detection, Data mining,
visual saliency mechanism
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MFST: Multi-Modal Feature Self-Adaptive Transformer for Infrared and
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Liu, X.Z.[Xiang-Zeng],
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A robust registration method for UAV thermal infrared and visible
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Elsevier DOI
2209
Template matching, Pyramid similarity maps,
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2209
Infrared image, Super-resolution, Texture transfer, Cross-scale residual
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Elsevier DOI
2209
Image fusion, Infrared, Scene and texture learning, Recurrent neural network
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Yin, H.T.[Hai-Tao],
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Laplacian Pyramid Generative Adversarial Network for Infrared and
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SPLetters(29), 2022, pp. 1988-1992.
IEEE DOI
2210
Feature extraction, Laplace equations, Image fusion,
Generative adversarial networks, Generators, Training, Decoding,
attention module
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3D Data Fusion for Historical Analyses of Heritage Buildings Using
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Multi-Sensor Fusion of SDGSAT-1 Thermal Infrared and Multispectral
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A Multi-View Thermal-Visible Image Dataset for Cross-Spectral
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Elsevier DOI
2301
Image fusion, Perceptual loss, Downstream tasks, Infrared image
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Elsevier DOI
2301
Multispectral image, Multi-modal learning, Transformers
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DCDR-GAN: A Densely Connected Disentangled Representation Generative
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CirSysVideo(33), No. 2, February 2023, pp. 549-561.
IEEE DOI
2302
Image fusion, Generative adversarial networks, Decoding,
Feature extraction, Generators, Image reconstruction, Encoding,
visible image fusion
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Alparone, L.[Luciano],
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Zoppetti, C.[Claudia],
Fusion of VNIR Optical and C-Band Polarimetric SAR Satellite Data for
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2302
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TCCFusion: An infrared and visible image fusion method based on
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PR(137), 2023, pp. 109295.
Elsevier DOI
2302
Image fusion, Transformer, Deep learning, Infrared image, Cross correlation
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Zhou, H.B.[Hua-Bing],
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Semantic-Supervised Infrared and Visible Image Fusion Via a
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MultMed(25), 2023, pp. 635-648.
IEEE DOI
2302
Image fusion, Semantics, Feature extraction, Generators, Transforms,
Generative adversarial networks, Games, Image fusion, dual-discriminator
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Zhao, L.J.[Liang-Jun],
Yang, H.[Hao],
Dong, L.[Linlu],
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Asiya, M.[Manlike],
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MMFuse: A multi-scale infrared and visible images fusion algorithm
based on morphological reconstruction and membership filtering,
IET-IPR(17), No. 4, 2023, pp. 1126-1148.
DOI Link
2303
Image fusion, Multi-scale transformation,
Fuzzy c-means clustering(FCM), Morphological reconstruction (MR)
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Luo, X.Q.[Xiao-Qing],
Jiang, Y.T.[Yu-Ting],
Wang, A.[Anqi],
Wang, J.[Juan],
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Wu, X.J.[Xiao-Jun],
Infrared and visible image fusion based on Multi-State contextual
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Elsevier DOI
2303
Image fusion, non-subsampled Shearlet transform,
contextual hidden Markov model, multi-state, soft context variable
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Feng, Z.X.[Zhi-Xi],
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Gao, Q.W.[Quan-Wei],
AFT: Adaptive Fusion Transformer for Visible and Infrared Images,
IP(32), 2023, pp. 2077-2092.
IEEE DOI
2304
Transformers, Feature extraction, Decoding, Convolution,
Visualization, Image fusion, Fuses, Multi-modality images,
multi-head self-fusion
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Fang, A.Q.[Ai-Qing],
Wu, J.S.[Jun-Sheng],
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Elsevier DOI
2305
Image fusion, Neural network, Mutual information, Deep learning
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Breaking Free From Fusion Rule:
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SPLetters(30), 2023, pp. 418-422.
IEEE DOI
2305
Semantics, Training, Task analysis, Feature extraction, Image fusion,
Fuses, Image fusion, semantic-driven training strategy
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Lei, J.S.[Jing-Sheng],
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Infrared and Visible Image Fusion via Multiscale Receptive Field
Amplification Fusion Network,
SPLetters(30), 2023, pp. 493-497.
IEEE DOI
2305
Feature extraction, Image fusion, Convolution, Transformers,
Signal processing algorithms, Image edge detection, Image fusion,
deep learning
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Retinex-MPCNN: A Retinex and Modified Pulse coupled Neural Network
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2306
MPCNN, Parameters setting, Retinex theory,
Low illumination enhancement, Weighted image fusion
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An Effective Infrared and Visible Image Fusion Approach via Rolling
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A CNN-Based Layer-Adaptive GCPs Extraction Method for TIR Remote
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Thermal Infrared Images.
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SyPer: Synthetic periocular data for quantized light-weight
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2306
Deep learning, Quantization, Synthetic data, Biometrics, Periocular
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Li, X.[Xilai],
Li, X.S.[Xiao-Song],
Liu, W.Y.[Wu-Yang],
CBFM: Contrast Balance Infrared and Visible Image Fusion Based on
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RS(15), No. 12, 2023, pp. xx-yy.
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2307
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Ying, J.C.[Jia-Cheng],
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2307
Image fusion, RGB and near-infrared, overexposed sky recovery,
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Liu, Y.[Yu],
Duan, Y.S.[Yan-Song],
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DATFuse: Infrared and Visible Image Fusion via Dual Attention
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CirSysVideo(33), No. 7, July 2023, pp. 3159-3172.
IEEE DOI
2307
Transformers, Image fusion, Feature extraction, Task analysis,
Transmission line measurements, Decoding, Computational modeling,
residual learning
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2408
Image fusion, Transformer, Interactive network, Infrared image, Deep learning
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YDTR: Infrared and Visible Image Fusion via Y-Shape Dynamic
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2311
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Infrared and Visible Image Homography Estimation Based on Feature
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A Cross-Scale Iterative Attentional Adversarial Fusion Network for
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CirSysVideo(33), No. 8, August 2023, pp. 3677-3688.
IEEE DOI
2308
Feature extraction, Iterative methods, Generators, Task analysis,
Image reconstruction, Iterative decoding, Image fusion, adversarial learning
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Wang, Z.S.[Zhi-She],
Shao, W.Y.[Wen-Yu],
Chen, Y.L.[Yan-Lin],
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Infrared and Visible Image Fusion via Interactive Compensatory
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2312
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HAFFseg: RGB-Thermal semantic segmentation network with hybrid
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2308
RGB-Thermal semantic segmentation,
Frequency domain feature enhanced module,
Full-scale fusion connection decoder
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Visible and infrared image fusion,
Coupled dictionary learning, Joint sparse coding, Texture preserving
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PRL(174), 2023, pp. 99-105.
Elsevier DOI
2310
Image fusion, Visible and infrared image, Multi-modal image,
Unsupervised learning
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IEEE DOI
2310
BibRef
Wang, H.Z.[Hao-Zhe],
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Li, X.F.[Xiao-Feng],
Enlighten Fusion Multiscale Network for Infrared and Visible Image
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IEEE DOI
2310
BibRef
Yue, J.[Jun],
Fang, L.Y.[Le-Yuan],
Xia, S.B.[Shao-Bo],
Deng, Y.[Yue],
Ma, J.Y.[Jia-Yi],
Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image
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IP(32), 2023, pp. 5705-5720.
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Duan, L.Y.[Ling-Yu],
Kot, A.C.[Alex C.],
Purifying Low-Light Images via Near-Infrared Enlightened Image,
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IEEE DOI
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Tian, S.L.[Shu-Lin],
Wang, Y.F.[Yu-Fei],
Wan, R.J.[Ren-Jie],
Yang, W.H.[Wen-Han],
Kot, A.C.[Alex C.],
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Enhancing Low-Light Images Using Infrared Encoded Images,
ICIP23(465-469)
IEEE DOI Code:
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2312
BibRef
Li, J.Q.[Jia-Qi],
Bi, G.[Guoling],
Wang, X.Z.[Xiao-Zhen],
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Radiation-Variation Insensitive Coarse-to-Fine Image Registration for
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Luo, X.Q.[Xiao-Qing],
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A full-scale hierarchical encoder-decoder network with cascading
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WWW Link.
2402
Full-scale, Long-range, Progressive semantic, Edge-prior,
Encoder-decoder, Infrared and visible image fusion
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Park, S.[Seonghyun],
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Lee, C.[Chul],
Cross-Modal Transformers for Infrared and Visible Image Fusion,
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IEEE DOI
2402
BibRef
Earlier:
Infrared and Visible Image Fusion Using Bimodal Transformers,
ICIP22(1741-1745)
IEEE DOI
2211
Feature extraction, Transformers, Image fusion, Convolution,
Task analysis, Data mining, Image fusion, transformer, visible image.
Frequency-domain analysis, Merging, Image reconstruction,
multiscale network
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Kim, G.[Gahyeon],
Vien, A.G.[An Gia],
Nguyen, D.H.[Duong Hai],
Lee, C.[Chul],
Feature Decomposition Transformers for Infrared and Visible Image
Fusion,
ICIP24(2662-2668)
IEEE DOI
2411
Feature extraction, Transformers, Image fusion,
Image reconstruction, Visible and infrared image fusion, transformer
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Yang, S.H.[Shi-Hao],
Sun, M.[Min],
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Nighttime Thermal Infrared Image Translation Integrating Visible
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Peng, Y.H.[Ya-Hui],
Pan, P.[Pan],
CCAFusion: Cross-Modal Coordinate Attention Network for Infrared and
Visible Image Fusion,
CirSysVideo(34), No. 2, February 2024, pp. 866-881.
IEEE DOI
2402
Image fusion, Feature extraction, Task analysis, Transforms,
Generative adversarial networks, Decoding, Dictionaries,
multiple constrained loss function
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Liu, K.[Kuizhuang],
Li, M.[Min],
Zuo, E.[Enguang],
Chen, C.[Chen],
Chen, C.[Cheng],
Wang, B.[Bo],
Wang, Y.L.[Yun-Ling],
Lv, X.Y.[Xiao-Yi],
ASFFuse: Infrared and visible image fusion model based on adaptive
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PR(149), 2024, pp. 110226.
Elsevier DOI Code:
WWW Link.
2403
Image fusion, Adaptive selection feature maps,
Feature enhancement, Texture loss
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Huo, H.T.[Hong-Tao],
Li, C.[Chang],
Liu, X.W.[Xiao-Wen],
Wang, W.X.[Wen-Xi],
Wang, C.[Cheng],
Semantic perceptive infrared and visible image fusion Transformer,
PR(149), 2024, pp. 110223.
Elsevier DOI
2403
Infrared image, Visible image, Transformer,
Long-range dependency, Local feature, Semantic perceptive, Image fusion
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Tang, L.F.[Lin-Feng],
Chen, Z.[Ziang],
Huang, J.[Jun],
Ma, J.Y.[Jia-Yi],
CAMF: An Interpretable Infrared and Visible Image Fusion Network
Based on Class Activation Mapping,
MultMed(26), 2024, pp. 4776-4791.
IEEE DOI
2403
Image fusion, Feature extraction, Transforms, Image reconstruction,
Deep learning, Task analysis, Pollution measurement
BibRef
Yang, C.X.[Chen-Xuan],
He, Y.[Yunan],
Sun, C.[Ce],
Chen, B.K.[Bing-Kun],
Cao, J.[Jie],
Wang, Y.T.[Yong-Tian],
Hao, Q.[Qun],
Multi-scale convolutional neural networks and saliency weight maps
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JVCIR(98), 2024, pp. 104015.
Elsevier DOI
2402
Infrared and visible images, Image fusion, CNN, Guided filter,
Saliency, Weight assignment
BibRef
Chen, W.Y.[Wei-Yi],
Miao, L.[Lingjuan],
Wang, Y.H.[Yu-Hao],
Zhou, Z.Q.[Zhi-Qiang],
Qiao, Y.J.[Ya-Jun],
Infrared-Visible Image Fusion through Feature-Based Decomposition and
Domain Normalization,
RS(16), No. 6, 2024, pp. 969.
DOI Link
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BibRef
Huang, J.[Jun],
Chen, Z.[Ziang],
Ma, Y.[Yong],
Fan, F.[Fan],
Tang, L.F.[Lin-Feng],
Xiang, X.Y.[Xin-Yu],
PTET: A progressive token exchanging transformer for infrared and
visible image fusion,
IVC(144), 2024, pp. 104957.
Elsevier DOI
2404
Image fusion, Transformer, Token exchanging, Infrared image, Visible image
BibRef
Xia, Z.W.[Zheng-Wei],
Liu, Y.[Yun],
Wang, X.Y.[Xiao-Yun],
Zhang, F.Y.[Fei-Yun],
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Image fusion, Multi-level feature injection, Attention mechanism
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Li, H.F.[Hua-Feng],
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IAIFNet: An Illumination-Aware Infrared and Visible Image Fusion
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IEEE DOI
2405
Image fusion, Lighting, Feature extraction, Brightness,
Task analysis, Image color analysis, Visualization,
illumination enhancement
BibRef
Li, D.Y.[Dong-Yang],
Nie, R.[Rencan],
Cao, J.[Jinde],
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Elsevier DOI
2405
Infrared and visible image fusion, Self-supervised,
Co-attention, Weighted fidelity loss
BibRef
Li, G.[Guofa],
Lin, Y.J.[Yong-Jie],
Ouyang, D.[Delin],
Li, S.[Shen],
Luo, X.[Xiao],
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Pi, D.W.[Da-Wei],
Li, S.E.[Shengbo Eben],
A RGB-Thermal Image Segmentation Method Based on Parameter Sharing
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ITS(25), No. 6, June 2024, pp. 5122-5137.
IEEE DOI
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Feature extraction, Convolution, Decoding, Semantic segmentation,
Autonomous vehicles, Semantics, Transformers, Autonomous driving,
image fusion
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Yang, K.X.[Kai-Xuan],
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Image fusion, Neural network, Infrared and visible images, Image processing
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Setiawan, Y.[Yudi],
Kustiyo, K.[Kustiyo],
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Tosiani, A.[Anna],
Usman, A.B.[Ahmad Basyiruddin],
Kartika, T.[Tatik],
Indriasari, N.[Novie],
Prasetyo, L.B.[Lilik Budi],
Margono, B.A.[Belinda Arunarwati],
Evaluating Visible-Infrared Imaging Radiometer Suite Imagery for
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convolutional neural nets, feature extraction,
image fusion, image reconstruction
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Liu, K.Z.[Kui-Zhuang],
Li, M.[Min],
Chen, C.[Cheng],
Rao, C.W.[Cheng-Wei],
Zuo, E.G.[En-Guang],
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Yan, Z.W.[Zi-Wei],
Wang, B.[Bo],
Chen, C.[Chen],
Lv, X.Y.[Xiao-Yi],
DSFusion: Infrared and visible image fusion method combining detail
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WWW Link.
2406
Image fusion, Local attention mechanism,
Improved channel attention mechanism, Loss function
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Xu, S.P.[Shao-Ping],
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Infrared and visible image fusion, Dual-branch fusion network,
Progressive image-wise feature transfer, Transformer module, CLIP loss
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Gao, L.N.[Ling-Na],
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Cao, J.[Jinde],
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DFG-HCEN: A distinctive-feature guided and hierarchical channel
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Elsevier DOI
2407
Infrared and visible image fusion, Unsupervised learning,
Feature guided-based hierarchical channel enhanced module, A hybrid loss
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Shen, S.[Sen],
Zhang, T.[Taotao],
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Yuan, S.Z.[Sheng-Zhi],
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image fusion
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Fang, A.Q.[Ai-Qing],
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Elsevier DOI
2408
Image fusion, Dynamic fusion, Static fusion, Deep learning
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Tian, J.[Jia],
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Image fusion, Attention mechanism, Global information, Feature enhancement
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Xing, M.L.[Meng-Liang],
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CFNet: An Infrared and Visible Image Compression Fusion Network,
PR(156), 2024, pp. 110774.
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WWW Link.
2408
Image fusion, Image compression, Variational autoencoder,
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Chen, X.X.[Xiao-Xuan],
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Image fusion, Object detection, Autoencoder, Global information,
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Liu, X.W.[Xiao-Wen],
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Image fusion, Contrastive learning, Convolution neural network
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IEEE DOI
2410
Image fusion, Task analysis, Feature extraction, Training, Image segmentation,
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Image fusion, Infrared image, Cross-channel attention, Texture preservation
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Yang, B.[Bin],
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IEEE DOI
2411
Feature extraction, Image fusion, Image edge detection,
Task analysis, Transformers, Generative adversarial networks,
scene fidelity
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Image fusion, Infrared and visible images,
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Adaptation models, Upper bound, Costs, Object detection,
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Pendota, A.[Amulya],
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Are Deep Learning Models Pre-trained on RGB Data Good Enough for
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IMW24(4287-4296)
IEEE DOI
2410
Deep learning, Training, Analytical models, Computational modeling,
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2410
Training, Measurement, PSNR, Superresolution, Computer architecture,
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2410
Degradation, Tensors, Semantic segmentation, Interference,
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Global structure-tensor awareness
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Dynamics, Lighting, Collaboration, Cameras, High dynamic range,
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GM-DETR: Generalized Muiltispectral DEtection TRansformer with
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Training, Adaptation models, Object detection, Benchmark testing,
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ICIP24(2634-2640)
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Measurement, Fuses, Lighting, Contrastive learning,
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Visualization, Fuses, Convolution, Feature extraction, Decoding,
Biological information theory, Image fusion, Biological Vision,
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Image sensors, Fuses, Semantics, Sensor fusion, Generators, Sensors,
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Deep learning, Loss measurement, Task analysis, Image fusion,
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Infrared and Visible Image Registration for Airborne Camera Systems,
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Image registration, Surveillance, Streaming media, Reconnaissance,
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Infrared and Visible Image Fusion Based on TRPCA and Visual Saliency
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Degradation, Visualization, Tensors, Fuses, Indexes, Image fusion,
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Image fusion, Benchmark testing, Machine learning, Libraries,
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image colour analysis, image fusion, image sensors,
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image fusion
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Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
RGB and Thermal Fusion for Object Extraction .