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Multifocus image fusion using artificial neural networks,
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Elsevier DOI
0204
BibRef
Li, S.T.[Shu-Tao],
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Kwok, J.T.[James T.],
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Multimodal Registration using the Discrete Wavelet Frame Transform,
ICPR06(III: 877-880).
IEEE DOI
0609
BibRef
Gabarda, S.[Salvador],
Cristóbal, G.[Gabriel],
On the use of a joint spatial-frequency representation for the fusion
of multi-focus images,
PRL(26), No. 16, December 2005, pp. 2572-2578.
Elsevier DOI
0512
2-D all in focus image from set of multi-focus images.
BibRef
Redondo, R.,
Fischer, S.,
Sroubek, F.,
Cristobal, G.,
A 2D Wigner Distribution-based multisize windows technique for image
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JVCIR(19), No. 1, January 2008, pp. 12-19.
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0711
Wigner Distribution; Image fusion; Multifocus
BibRef
Huang, W.[Wei],
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Evaluation of focus measures in multi-focus image fusion,
PRL(28), No. 4, 1 March 2007, pp. 493-500.
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0701
Image fusion; Multi-focus; Focus measure; Spatial frequency
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Huang, W.[Wei],
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Multi-focus image fusion using pulse coupled neural network,
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0704
Multi-focus image fusion; Pulse coupled neural network
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Multi-focus image fusion using PCNN,
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PCNN; Image fusion; Focus measure
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PRL(34), No. 9, July 2013, pp. 1001-1008.
Elsevier DOI
1305
BibRef
Earlier: A1, A3, Only:
An application of compressive sensing for image fusion,
CIVR10(3-9).
DOI Link
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Multifocus image fusion; Robust principal component analysis; Sparse
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Kang, B.,
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Fusion framework for multi-focus images based on compressed sensing,
IET-IPR(7), No. 4, 2013, pp. 290-299.
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Li, H.F.[Hua-Feng],
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Li, Z.F.[Zhao-Fei],
A new fusion scheme for multifocus images based on focused pixels
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MVA(24), No. 6, August 2013, pp. 1167-1181.
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Multi-focus thermal image fusion,
PRL(34), No. 5, 1 April 2013, pp. 536-544.
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1303
Thermal image; Focus; Fusion
BibRef
Xia, X.H.[Xiao-Hua],
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High resolution image fusion algorithm based on multi-focused region
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PRL(45), No. 1, 2014, pp. 115-120.
Elsevier DOI
1407
High resolution image
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Multi-Focus Image Fusion Based on Spatial Frequency in Discrete
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SPLetters(22), No. 2, February 2015, pp. 220-224.
IEEE DOI
1410
discrete cosine transforms
BibRef
Bavirisetti, D.P.[Durga Prasad],
Dhuli, R.[Ravindra],
Multi-focus image fusion using maximum symmetric surround saliency
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ELCVIA(14), No. 2, 2015, pp. xx-yy.
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BibRef
Boshtayeva, M.[Madina],
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A focus fusion framework with anisotropic depth map smoothing,
PR(48), No. 11, 2015, pp. 3310-3323.
Elsevier DOI
1506
BibRef
Earlier: A1, A2, Only:
Focus Fusion with Anisotropic Depth Map Smoothing,
CAIP13(II:67-74).
Springer DOI
1311
Focus fusion
BibRef
Zhang, Q.,
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Robust Multi-Focus Image Fusion Using Multi-Task Sparse
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IP(25), No. 5, May 2016, pp. 2045-2058.
IEEE DOI
1604
feature extraction
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Kaplan, N.H.,
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Fusion of multifocus images by lattice structures,
JVCIR(38), No. 1, 2016, pp. 848-857.
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1605
Image fusion
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Unni, V.S.,
Mishra, D.[Deepak],
Subrahmanyam, G.R.K.S.,
Adaptive multifocus image fusion using block compressed sensing with
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JOSA-A(33), No. 12, December 2016, pp. 2516-2525.
DOI Link
1612
Image processing; Wavelets; Fusion
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Luo, X.Q.[Xiao-Qing],
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Wu, X.J.[Xiao-Jun],
Multi-focus image fusion using HOSVD and edge intensity,
JVCIR(45), No. 1, 2017, pp. 46-61.
Elsevier DOI
1704
Image fusion
BibRef
Zheng, X.N.[Xue-Ni],
Luo, X.Q.[Xiao-Qing],
Zhang, Z.C.[Zhan-Cheng],
Wu, X.J.[Xiao-Jun],
Multi-focus image fusion using quaternion wavelet transform,
ICPR16(883-888)
IEEE DOI
1705
Context, Feature extraction, Hidden Markov models, Quaternions,
Wavelet coefficients, contextual hidden Markov model,
image fusion, phase, quaternion matrix, quaternion, wavelet
BibRef
Ahmad, A.[Attiq],
Ahmad, S.[Sahar],
Khurshid, H.[Hasnat],
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Ghafoor, A.[Abdul],
Zaidi, T.[Tahir],
Fusion of multi-focus images with registration inaccuracies,
SIViP(11), No. 3, March 2017, pp. 463-470.
Springer DOI
1702
BibRef
Yang, Y.[Yong],
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Huang, S.Y.[Shu-Ying],
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Technique for multi-focus image fusion based on fuzzy-adaptive
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SIViP(11), No. 3, March 2017, pp. 439-446.
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1702
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Gao, R.,
Vorobyov, S.A.,
Zhao, H.,
Image Fusion With Cosparse Analysis Operator,
SPLetters(24), No. 7, July 2017, pp. 943-947.
IEEE DOI
1706
Algorithm design and analysis, Analytical models, Image fusion,
Image reconstruction, Image restoration, Indexes, Transforms,
Alternating direction method of multiplier (ADMM),
analysis K-singular value decomposition (K-SVD),
analysis operator learning, cosparse representation, multifocus,
image, fusion
BibRef
Xia, X.H.[Xiao-Hua],
Dang, G.[Gang],
Yao, Y.[Yunshi],
Liang, J.[Jia],
Image registration model and algorithm for multi-focus images,
PRL(86), No. 1, 2017, pp. 26-30.
Elsevier DOI
1702
Multi-focus image
BibRef
Yan, X.[Xiang],
Qin, H.L.[Han-Lin],
Li, J.[Jia],
Multi-Focus Image Fusion Based on Dictionary Learning with Rolling
Guidance Filter,
JOSA-A(34), No. 3, March 2017, pp. 432-440.
DOI Link
1703
Image processing; Digital image processing; Fusion
BibRef
Sun, J.G.[Jian-Guo],
Han, Q.L.[Qi-Long],
Kou, L.[Liang],
Zhang, L.G.[Li-Guo],
Zhang, K.J.[Ke-Jia],
Jin, Z.L.[Zi-Long],
Multi-focus image fusion algorithm based on Laplacian pyramids,
JOSA-A(35), No. 3, March 2018, pp. 480-490.
DOI Link
1804
Image processing, Digital image processing, Image analysis, Fusion
BibRef
Garnica-Carrillo, A.[Adan],
Calderon, F.[Felix],
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Multi-focus image fusion by local optimization over sliding windows,
SIViP(12), No. 5, July 2018, pp. 869-876.
WWW Link.
1806
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Zhou, S.W.[Shi-Wei],
Lou, Z.Y.[Zheng-Yang],
Hu, Y.H.[Yu Hen],
Jiang, H.R.[Hong-Rui],
Multiple view image denoising using 3D focus image stacks,
CVIU(171), 2018, pp. 34-47.
Elsevier DOI
1812
Multi-view denoising, 3D focus image stacks,
Image reconstruction, Disparity map, Occlusion handling, Low rank minimization
BibRef
Qiu, X.H.[Xiao-Hua],
Li, M.[Min],
Zhang, L.Q.[Li-Qiong],
Yuan, X.J.[Xian-Jie],
Guided filter-based multi-focus image fusion through focus region
detection,
SP:IC(72), 2019, pp. 35-46.
Elsevier DOI
1902
Multi-focus image fusion, Guided filter,
Focus region detection, Focus measure
BibRef
Zhang, Q.A.[Qi-Ang],
Shi, T.[Tao],
Wang, F.[Fan],
Blum, R.S.[Rick S.],
Han, J.G.[Jun-Gong],
Robust sparse representation based multi-focus image fusion with
dictionary construction and local spatial consistency,
PR(83), 2018, pp. 299-313.
Elsevier DOI
1808
Multi-focus image fusion, Robust sparse representation,
Dictionary construction, Spatial contextual information, Spatial consistency
BibRef
Zhang, Q.A.[Qi-Ang],
Li, G.H.[Guang-He],
Cao, Y.F.[Yun-Feng],
Han, J.G.[Jun-Gong],
Multi-focus image fusion based on non-negative sparse representation
and patch-level consistency rectification,
PR(104), 2020, pp. 107325.
Elsevier DOI
2005
Multi-focus image fusion, Non-negative sparse representation,
Compact non-negative dictionary construction,
High computational efficiency
BibRef
Zhao, W.,
Wang, D.,
Lu, H.,
Multi-Focus Image Fusion With a Natural Enhancement via a Joint
Multi-Level Deeply Supervised Convolutional Neural Network,
CirSysVideo(29), No. 4, April 2019, pp. 1102-1115.
IEEE DOI
1904
Image fusion, Feature extraction, Fuses, Transforms,
Convolutional neural networks, Image segmentation,
deep supervision
BibRef
Mustafa, H.T.[Hafiz Tayyab],
Yang, J.[Jie],
Zareapoor, M.[Masoumeh],
Multi-Scale Convolutional Neural Network for Multi-Focus Image Fusion,
IVC(85), 2019, pp. 26-35.
Elsevier DOI
1905
Multi-focus image fusion, Convolutional neural network,
Unsupervised, Structure similarity
BibRef
Mustafa, H.T.[Hafiz Tayyab],
Zareapoor, M.[Masoumeh],
Yang, J.[Jie],
MLDNet: Multi-Level Dense Network for Multi-Focus Image Fusion,
SP:IC(85), 2020, pp. 115864.
Elsevier DOI
2005
Multi-focus image fusion, Deep learning, Feature extraction, Feature fusion
BibRef
Zhang, Y.X.[Yong-Xin],
Wei, W.[Wei],
Yuan, Y.T.[Ya-Ting],
Multi-focus image fusion with alternating guided filtering,
SIViP(13), No. 4, June 2019, pp. 727-735.
WWW Link.
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BibRef
Zhang, Y.X.[Yong-Xin],
Zhao, P.[Peng],
Ma, Y.Z.[You-Zhong],
Fan, X.L.[Xun-Li],
Multi-Focus Image Fusion with Joint Guided Image Filtering,
SP:IC(92), 2021, pp. 116128.
Elsevier DOI
2101
Image decomposition, Image fusion, Static/dynamic filter,
Filtering algorithms, Saliency maps
BibRef
Guo, X.P.[Xiao-Peng],
Nie, R.C.[Ren-Can],
Cao, J.D.[Jin-De],
Zhou, D.M.[Dong-Ming],
Mei, L.[Liye],
He, K.J.[Kang-Jian],
FuseGAN: Learning to Fuse Multi-Focus Image via Conditional
Generative Adversarial Network,
MultMed(21), No. 8, August 2019, pp. 1982-1996.
IEEE DOI
1908
image fusion, learning (artificial intelligence),
object detection, conditional generative adversarial network,
synthesize dataset
BibRef
Wang, C.C.[Cheng-Chao],
Pu, Y.Y.[Yuan-Yuan],
Wang, X.[Xue],
Ma, C.Z.[Chao-Zhen],
Nie, R.C.[Ren-Can],
MCNN: Conditional focus probability learning to multi-focus image
fusion via mutually coupled neural network,
IET-IPR(17), No. 8, 2023, pp. 2422-2436.
DOI Link
2306
Multi-focus image fusion, conditional focus probability,
convolutional neural network, hybrid loss
BibRef
Bouzos, O.,
Andreadis, I.,
Mitianoudis, N.,
Conditional Random Field Model for Robust Multi-Focus Image Fusion,
IP(28), No. 11, November 2019, pp. 5636-5648.
IEEE DOI
1909
Transforms, Image fusion, Estimation, Minimization, High frequency,
Frequency estimation, Dictionaries,
independent component analysis (ICA)
BibRef
Ma, X.L.[Xiao-Le],
Hu, S.H.[Shao-Hai],
Liu, S.Q.[Shuai-Qi],
Fang, J.[Jing],
Xu, S.[Shuwen],
Multi-focus image fusion based on joint sparse representation and
optimum theory,
SP:IC(78), 2019, pp. 125-134.
Elsevier DOI
1909
Joint sparse representation, Optimum theory,
Orthogonal matching pursuit, Multi-focus image fusion
BibRef
Ma, X.L.[Xiao-Le],
Wang, Z.H.[Zhi-Hai],
Hu, S.H.[Shao-Hai],
Multi-focus image fusion based on multi-scale sparse representation,
JVCIR(81), 2021, pp. 103328.
Elsevier DOI
2112
Multi-scale decomposition, Sparse representation,
Adaptive fusion rule, Sum modified Laplacian, Multi-focus image fusion
BibRef
Liu, S.Q.[Shuai-Qi],
Ma, J.[Jian],
Yang, Y.[Yang],
Qiu, T.[Tian],
Li, H.L.[Hai-Liang],
Hu, S.H.[Shao-Hai],
Zhang, Y.D.[Yu-Dong],
A multi-focus color image fusion algorithm based on low vision image
reconstruction and focused feature extraction,
SP:IC(100), 2022, pp. 116533.
Elsevier DOI
2112
Multi-focus image fusion, Residual network, Structure gradient,
Rolling guidance filter
BibRef
Yan, T.[Tao],
Hu, Z.G.[Zhi-Guo],
Qian, Y.H.[Yu-Hua],
Qiao, Z.W.[Zhi-Wei],
Zhang, L.Y.[Lin-Yuan],
3D shape reconstruction from multifocus image fusion using a
multidirectional modified Laplacian operator,
PR(98), 2020, pp. 107065.
Elsevier DOI
1911
3D shape reconstruction, Image fusion, Shape-from-focus,
Microscopic imaging, Nonsubsampled shearlet transform
BibRef
Xiao, B.[Bin],
Ou, G.[Ge],
Tang, H.[Han],
Bi, X.L.[Xiu-Li],
Li, W.S.[Wei-Sheng],
Multi-Focus Image Fusion by Hessian Matrix Based Decomposition,
MultMed(22), No. 2, February 2020, pp. 285-297.
IEEE DOI
2001
Image fusion, Frequency modulation, Matrix decomposition,
Feature extraction, Transforms, Image edge detection, integral image
BibRef
Xiao, B.[Bin],
Wu, H.F.[Hai-Feng],
Bi, X.L.[Xiu-Li],
DTMNet: A Discrete Tchebichef Moments-based Deep Neural Network for
Multi-focus Image Fusion,
ICCV21(43-51)
IEEE DOI
2203
Deep learning, Training, Visualization, Neural networks,
Real-time systems, Convolutional neural networks,
grouping and shape
BibRef
Li, J.X.[Jin-Xing],
Guo, X.B.[Xiao-Bao],
Lu, G.M.[Guang-Ming],
Zhang, B.[Bob],
Xu, Y.[Yong],
Wu, F.[Feng],
Zhang, D.[David],
DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion,
IP(29), 2020, pp. 4816-4831.
IEEE DOI
2003
Image fusion, Image edge detection, Transforms, Machine learning,
Convolution, Convolutional neural networks,
regression
BibRef
Liu, S.,
Chen, J.,
Rahardja, S.,
A New Multi-Focus Image Fusion Algorithm and Its Efficient
Implementation,
CirSysVideo(30), No. 5, May 2020, pp. 1374-1384.
IEEE DOI
2005
Discrete wavelet transforms, Image fusion, High frequency,
Hardware, Image edge detection, Efficient hardware, wavelet transform
BibRef
Guo, X.P.[Xiao-Peng],
Meng, L.Y.[Ling-Yu],
Mei, L.[Liye],
Weng, Y.Y.[Yue-Yun],
Tong, H.Q.[Heng-Qing],
Multi-focus image fusion with Siamese self-attention network,
IET-IPR(14), No. 7, 29 May 2020, pp. 1339-1346.
DOI Link
2005
BibRef
Ma, H.,
Liao, Q.,
Zhang, J.,
Liu, S.,
Xue, J.,
An a-Matte Boundary Defocus Model-Based Cascaded Network for
Multi-Focus Image Fusion,
IP(29), 2020, pp. 8668-8679.
IEEE DOI
2009
Cameras, Data models, Training data, Training, Image fusion,
Transforms, Analytical models, Image fusion, multi-focus, CNNs, defocus model
BibRef
Zhang, J.C.[Jun-Cheng],
Liao, Q.M.[Qing-Min],
Liu, S.J.[Shao-Jun],
Ma, H.Y.[Hao-Yu],
Yang, W.M.[Wen-Ming],
Xue, J.H.[Jing-Hao],
Real-MFF: A large realistic multi-focus image dataset with ground
truth,
PRL(138), 2020, pp. 370-377.
Elsevier DOI
1806
Dataset, Multi-Focus. Image fusion, Multi-focus images, Multi-focus dataset, Deep learning
BibRef
Xiao, B.,
Xu, B.,
Bi, X.,
Li, W.,
Global-Feature Encoding U-Net (GEU-Net) for Multi-Focus Image Fusion,
IP(30), 2021, pp. 163-175.
IEEE DOI
2011
Feature extraction, Image fusion, Convolution, Image segmentation,
Task analysis, Transforms, Image edge detection, Deep learning, focus map
BibRef
Dinh, V.Q.,
Munir, F.,
Sheri, A.M.,
Jeon, M.,
Disparity Estimation Using Stereo Images With Different Focal Lengths,
ITS(21), No. 12, December 2020, pp. 5258-5270.
IEEE DOI
2012
Cameras, Estimation, Transmission line matrix methods,
Neural networks, Transforms, Matrix decomposition,
different focal lengths
BibRef
Jiang, L.B.[Liu-Bing],
Zhang, D.[Dian],
Che, L.[Li],
Texture analysis-based multi-focus image fusion using a modified
Pulse-Coupled Neural Network (PCNN),
SP:IC(91), 2021, pp. 116068.
Elsevier DOI
2012
Multi-focus image fusion,
Image cartoon and texture decomposition,
Bilateral filter
BibRef
Li, H.[Heng],
Zhang, L.M.[Li-Ming],
Jiang, M.R.[Mei-Rong],
Li, Y.L.[Yu-Long],
Multi-focus image fusion algorithm based on supervised learning for
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PRL(141), 2021, pp. 45-53.
Elsevier DOI
2101
Supervised learning, Fully convolution,
Multi-focus image fusion, Image fusion
BibRef
Tan, J.[Jin],
Zhang, T.P.[Tai-Ping],
Zhao, L.[Linchang],
Luo, X.L.[Xiao-Liu],
Tang, Y.Y.[Yuan Yan],
Multi-focus image fusion with Geometrical Sparse Representation,
SP:IC(92), 2021, pp. 116130.
Elsevier DOI
2101
Multi-focus image fusion, Geometrical Sparse Representation, Average pooling
BibRef
Zhang, Q.[Qiang],
Wang, F.[Fan],
Luo, Y.J.[Yong-Jiang],
Han, J.G.[Jun-Gong],
Exploring a unified low rank representation for multi-focus image
fusion,
PR(113), 2021, pp. 107752.
Elsevier DOI
2103
Multi-focus image fusion, Super-pixel clustering,
Unified low-rank representation, Spatial consistency
BibRef
Gopalakrishnan, S.[Sreeja],
Ovireddy, S.[Saraniya],
Hybridisation of single-image super-resolution with edge-aware
multi-focus image fusion for edge enrichment,
IET-IPR(14), No. 16, 19 December 2020, pp. 4392-4400.
DOI Link
2103
BibRef
Manchanda, M.[Meenu],
Gambhir, D.[Deepak],
Improvement in CNN-Based Multifocus Image Fusion Algorithm with
Triangulated Fuzzy Filter,
IJIG(21), No. 2 2021, pp. 2150020.
DOI Link
2105
BibRef
Wang, Y.C.[Yi-Cheng],
Xu, S.[Shuang],
Liu, J.M.[Jun-Min],
Zhao, Z.X.[Zi-Xiang],
Zhang, C.X.[Chun-Xia],
Zhang, J.S.[Jiang-She],
MFIF-GAN: A new generative adversarial network for multi-focus image
fusion,
SP:IC(96), 2021, pp. 116295.
Elsevier DOI
2106
Multi-focus image fusion, Defocus spread effect,
Generative adversarial network, Deep learning
BibRef
Hu, Y.X.[Yan-Xiang],
Zhang, B.[Bo],
Zhang, J.T.[Jun-Tong],
Gao, Q.[Qian],
Multi-focus image fusion evaluation based on jointly sparse
representation and atom focus measure,
IET-IPR(15), No. 5, 2021, pp. 1032-1041.
DOI Link
2106
BibRef
Hu, Y.X.[Yan-Xiang],
Chen, Z.J.[Zhi-Jie],
Zhang, B.[Bo],
Ma, L.F.[Li-Feng],
Li, J.Q.[Jia-Qi],
A multi-focus image fusion method based on multi-source joint
layering and convolutional sparse representation,
IET-IPR(16), No. 1, 2022, pp. 216-228.
DOI Link
2112
BibRef
Hu, Y.X.[Yan-Xiang],
Zhang, B.[Bo],
Zhang, Y.[Ya],
Chen, Z.J.[Zhi-Jie],
A novel multi-focus image fusion method based on joint regularization
optimization layering and sparse representation,
SP:IC(101), 2022, pp. 116572.
Elsevier DOI
2201
Multi-focus image fusion,
Multi-source joint regularization optimization layering,
Atom focus degree
BibRef
Peng, H.[Hong],
Li, B.[Bo],
Yang, Q.[Qian],
Wang, J.[Jun],
Multi-focus image fusion approach based on CNP systems in NSCT domain,
CVIU(210), 2021, pp. 103228.
Elsevier DOI
2109
Coupled neural p systems, Nonsubsampled contourlet transform,
Image fusion, Multi-focus image, Fusion rule
BibRef
Jiang, L.[Limai],
Fan, H.[Hui],
Li, J.J.[Jin-Jiang],
Tu, C.H.[Chang-He],
Pseudo-Siamese residual atrous pyramid network for multi-focus image
fusion,
IET-IPR(15), No. 13, 2021, pp. 3304-3317.
DOI Link
2110
BibRef
Wang, H.R.[Hao-Ran],
Hua, Z.[Zhen],
Li, J.J.[Jin-Jiang],
Two-stage progressive residual learning network for multi-focus image
fusion,
IET-IPR(16), No. 3, 2022, pp. 772-786.
DOI Link
2202
BibRef
Wang, W.Q.[Wen-Qing],
Ma, X.[Xiao],
Liu, H.[Han],
Li, Y.X.[Yu-Xing],
Liu, W.[Wei],
Multi-focus image fusion via Joint convolutional analysis and
synthesis sparse representation,
SP:IC(99), 2021, pp. 116521.
Elsevier DOI
2111
Multi-focus image fusion, Analysis sparse representation,
Synthesis sparse representation, Laplacian pyramid
BibRef
Xiao, Y.F.[Yi-Fan],
Guo, Z.X.[Zhi-Xin],
Veelaert, P.[Peter],
Philips, W.[Wilfried],
DMDN: Degradation model-based deep network for multi-focus image
fusion,
SP:IC(101), 2022, pp. 116554.
Elsevier DOI
2201
Image fusion, Multi-focus, Deep learning, Degradation model
BibRef
Zhang, K.[Kang],
Wu, Z.L.[Zhi-Liang],
Yuan, X.[Xia],
Zhao, C.X.[Chun-Xia],
CFNet: Context Fusion Network for Multi-Focus Images,
IET-IPR(16), No. 2, 2022, pp. 499-508.
DOI Link
2201
BibRef
Wu, K.[Kejun],
Yang, Y.[You],
Liu, Q.[Qiong],
Zhang, X.P.[Xiao-Ping],
Gaussian-Wiener Representation and Hierarchical Coding Scheme for
Focal Stack Images,
CirSysVideo(32), No. 2, February 2022, pp. 523-537.
IEEE DOI
2202
One scene with serial focal depths.
Image coding, Redundancy, Optical imaging, Encoding, Detectors,
Optical diffraction, Cameras, Focal stack images, video coding,
image representation model
BibRef
Chen, J.[Jun],
Li, X.J.[Xue-Jiao],
Luo, L.B.[Lin-Bo],
Ma, J.Y.[Jia-Yi],
Multi-Focus Image Fusion Based on Multi-Scale Gradients and Image
Matting,
MultMed(24), 2022, pp. 655-667.
IEEE DOI
2202
Image fusion, Transforms, Image segmentation, Image edge detection,
Correlation, Data mining, Training, Decision map, focus measurement,
multi-focus image fusion
BibRef
Zhang, C.F.[Cheng-Fang],
Feng, Z.L.[Zi-Liang],
Convolutional analysis operator learning for multifocus image fusion,
SP:IC(103), 2022, pp. 116632.
Elsevier DOI
2203
Multifocus image fusion, Analysis-based signal model,
Convolution analysis operator learning, BPEG-M, ADMM, CBPDN
BibRef
Bhalla, K.[Kanika],
Koundal, D.[Deepika],
Sharma, B.[Bhisham],
Hu, Y.C.[Yu-Chen],
Zaguia, A.[Atef],
A fuzzy convolutional neural network for enhancing multi-focus image
fusion,
JVCIR(84), 2022, pp. 103485.
Elsevier DOI
2204
Deep learning, Fusion, Fuzzy sets, Multi-focus images
BibRef
Zhou, D.[Ding],
Jin, X.[Xin],
Jiang, Q.[Qian],
Cai, L.[Li],
Lee, S.J.[Shin-Jye],
Yao, S.W.[Shao-Wen],
MCRD-Net: An unsupervised dense network with multi-scale
convolutional block attention for multi-focus image fusion,
IET-IPR(16), No. 6, 2022, pp. 1558-1574.
DOI Link
2204
BibRef
Xiao, Z.L.[Zhao-Lin],
Liu, H.[Huan],
Jin, H.Y.[Hai-Yan],
COLF-GAN: Learning to axial super-resolve focal stacks,
IET-IPR(16), No. 7, 2022, pp. 1949-1958.
DOI Link
2205
BibRef
Wang, Z.[Zeyu],
Li, X.[Xiongfei],
Duan, H.R.[Hao-Ran],
Zhang, X.L.[Xiao-Li],
A Self-Supervised Residual Feature Learning Model for Multifocus
Image Fusion,
IP(31), 2022, pp. 4527-4542.
IEEE DOI
2207
Feature extraction, Task analysis, Superresolution, Image fusion,
Training, Image edge detection, Representation learning, deep learning
BibRef
Xu, H.Y.[Hai-Yong],
Jiang, G.Y.[Gang-Yi],
Yu, M.[Mei],
Zhu, Z.J.[Zhong-Jie],
Bai, Y.Q.[Yong-Qiang],
Song, Y.[Yang],
Sun, H.F.[Hui-Fang],
Tensor Product and Tensor-Singular Value Decomposition Based
Multi-Exposure Fusion of Images,
MultMed(24), 2022, pp. 3738-3753.
IEEE DOI
2208
Tensors, Feature extraction, Multi-exposure image fusion,
tensor product, tensor-singular value decomposition, visual saliency
BibRef
Jin, X.[Xin],
Xi, X.L.[Xiu-Liang],
Zhou, D.[Ding],
Ren, X.X.[Xiao-Xuan],
Yang, J.[Jie],
Jiang, Q.[Qian],
An unsupervised multi-focus image fusion method based on Transformer
and U-Net,
IET-IPR(17), No. 3, 2023, pp. 733-746.
DOI Link
2303
BibRef
Zhao, F.[Fan],
Zhao, W.[Wenda],
Lu, H.M.[Hui-Min],
Liu, Y.[Yong],
Yao, L.[Libo],
Liu, Y.[Yu],
Depth-Distilled Multi-Focus Image Fusion,
MultMed(25), 2023, pp. 966-978.
IEEE DOI
2303
Image fusion, Feature extraction, Lenses, Task analysis, Testing,
Cameras, Adaptation models, Depth distillation,
multi-level decision map fusion
BibRef
Bouzos, O.[Odysseas],
Andreadis, I.[Ioannis],
Mitianoudis, N.[Nikolaos],
A Convolutional Neural Network-Based Conditional Random Field Model
for Structured Multi-Focus Image Fusion Robust to Noise,
IP(32), 2023, pp. 2915-2930.
IEEE DOI
2306
Transforms, Convolutional neural networks, Deep learning,
Image fusion, Noise measurement, Sensitivity, Estimation,
energy minimization
BibRef
Wang, Z.[Zeyu],
Li, X.F.[Xiong-Fei],
Yu, S.[Shuang],
Duan, H.R.[Hao-Ran],
Zhang, X.L.[Xiao-Li],
Zhang, J.Z.[Ji-Zheng],
Chen, S.P.[Shi-Ping],
VSP-Fuse: Multifocus Image Fusion Model Using the Knowledge
Transferred From Visual Salience Priors,
CirSysVideo(33), No. 6, June 2023, pp. 2627-2641.
IEEE DOI
2306
Training, Task analysis, Image edge detection, Visualization,
Transforms, Feature extraction, Lenses, Multifocus image fusion,
attention
BibRef
Wu, Z.L.[Zhi-Liang],
Zhang, K.[Kang],
Xuan, H.Y.[Han-Yu],
Yuan, X.[Xia],
Zhao, C.X.[Chun-Xia],
Divide-and-conquer model based on wavelet domain for multi-focus
image fusion,
SP:IC(116), 2023, pp. 116982.
Elsevier DOI
2307
Multi-focus image fusion, Component divide-and-conquer model,
Discrete wavelet transform, Attention feature fusion network
BibRef
Wang, Z.Y.[Ze-Yu],
Li, X.F.[Xiong-Fei],
Zhao, L.[Libo],
Duan, H.R.[Hao-Ran],
Wang, S.D.[Shi-Dong],
Liu, H.[Hao],
Zhang, X.L.[Xiao-Li],
When Multi-Focus Image Fusion Networks Meet Traditional
Edge-Preservation Technology,
IJCV(131), No. 10, October 2023, pp. 2529-2552.
Springer DOI
2309
BibRef
Dehghani, N.[Nikoo],
Kabir, E.[Ehsanollah],
A Multi-Focus Image Fusion Method based on Fractal Dimension and
Guided Filtering,
ICPR21(10697-10703)
IEEE DOI
2105
Image segmentation, Filtering algorithms, Benchmark testing,
Feature extraction, Information filters, Fractals, Robustness,
Texture analysis
BibRef
Shuvo, M.M.H.[Md Maruf Hossain],
Kassim, Y.M.[Yasmin M.],
Bunyak, F.[Filiz],
Glinskii, O.V.[Olga V.],
Xie, L.[Leike],
Glinsky, V.V.[Vladislav V.],
Huxley, V.H.[Virginia H.],
Thakkar, M.M.[Mahesh M.],
Palaniappan, K.[Kannappan],
Multi-focus Image Fusion for Confocal Microscopy Using U-Net
Regression Map,
ICPR21(4317-4323)
IEEE DOI
2105
Image segmentation, Microscopy,
Anatomical structure, Blood vessels, Complexity theory,
U-Net
BibRef
Morooka, K.[Ken’ich],
Zhang, X.[Xueru],
Miyauchi, S.[Shoko],
Kurazume, R.[Ryo],
Ohno, E.[Eiji],
GAN-based Method for Synthesizing Multi-focus Cell Images,
PSIVT19(100-107).
Springer DOI
2003
BibRef
Nian, Z.,
Jung, C.,
CNN-Based Multi-Focus Image Fusion with Light Field Data,
ICIP19(1044-1048)
IEEE DOI
1910
Image fusion, convolutional neural network, deep learning,
light field data, multi-focus
BibRef
Li, W.,
Wang, G.,
Chen, X.,
Yin, X.,
Hu, X.,
Blurring-Effect-Free CNN for Optimization of Structural Edges in
Focus Stacking,
ICIP19(4634-4638)
IEEE DOI
1910
all-in-focus, focal stack, convolutional neural network,
structural edge, blurring effect
BibRef
Li, W.,
Wang, G.,
Hu, X.,
Yang, H.,
Scene-Adaptive Image Acquisition for Focus Stacking,
ICIP18(1887-1891)
IEEE DOI
1809
Focusing, Lenses, Kernel, Optical imaging, Fitting, Estimation, Stacking,
all-in-focus, image acquisition, max-gradient-flow, superpixel,
Gaussian-Fitting
BibRef
Ocampo-Blandon, C.,
Gousseau, Y.,
Ladjal, S.,
A Non Local Multifocus Image Fusion Scheme for Dynamic Scenes,
ICIP18(1877-1881)
IEEE DOI
1809
Image reconstruction, Image fusion, Robustness, Cameras,
Laplace equations, Geometry, Transforms, Multifocus image fusion,
PatchMatch
BibRef
Bai, X.Z.[Xiang-Zhi],
Liu, M.M.[Miao-Ming],
Chen, Z.G.[Zhi-Guo],
Wang, P.[Peng],
Zhang, Y.[Yu],
Morphology and Active Contour Model for Multi-Focus Image Fusion,
DICTA15(1-6)
IEEE DOI
1603
convolution
BibRef
Lie, W.N.[Wen-Nung],
Ho, C.C.[Chia-Che],
All-Focus Image Fusion and Depth Image Estimation Based on Iterative
Splitting Technique for Multi-focus Images,
PSIVT15(594-604).
Springer DOI
1602
BibRef
Roosta, I.,
Karimi, N.,
Samavi, S.,
Shirani, S.,
Multifocus image fusion based on surface area analysis,
ICIP15(2805-2809)
IEEE DOI
1512
Multi-focus images; fusion; image reconstruction; surface area
BibRef
Zhang, Y.[Yu],
Bai, X.Z.[Xiang-Zhi],
Wang, T.[Tao],
Multi-Focus Image Fusion via Boundary Finding and Multi-Scale
Morphological Focus-Measure,
DICTA14(1-7)
IEEE DOI
1502
feature extraction
BibRef
Sufi, A.A.[Azhar A.],
Zhang, D.C.[David C.],
van der Wal, G.[Gooitzen],
A single algorithm combining exposure and focus fusion,
ICIP11(1325-1328).
IEEE DOI
1201
BibRef
Chai, Y.[Yong],
Wang, W.[Wen],
He, Y.[You],
Multi Focus Image Fusion Based on Spline Pyramidal Direction Filter
Banks,
CISP09(1-4).
IEEE DOI
0910
BibRef
Chen, Y.[Ying],
Jiang, Y.D.[Yuan-Da],
Wang, C.[Chao],
Wang, D.[Di],
Li, W.N.[Wei-Ning],
Zhai, G.J.[Guang-Jie],
A Novel Multi-Focus Images Fusion Method Based on Bidimensional
Empirical Mode Decomposition,
CISP09(1-4).
IEEE DOI
0910
BibRef
Saeedi, J.[Jamal],
Faez, K.[Karim],
Mozaffari, S.[Saeed],
Multi-focus Image Fusion Based on Fuzzy and Wavelet Transform,
CIARP09(970-977).
Springer DOI
0911
BibRef
Saeedi, J.[Jamal],
Moradi, M.H.[Mohammad Hassan],
Abedi, A.[Ali],
Image Denoising Based on Fuzzy and Intra-scale Dependency in Wavelet
Transform Domain,
ICPR10(2672-2675).
IEEE DOI
1008
BibRef
Saeedi, J.[Jamal],
Abedi, A.[Ali],
Wavelet-Based Multi-Channel Image Denoising Using Fuzzy Logic,
ICISP10(44-53).
Springer DOI
1006
BibRef
Maik, V.[Vivek],
Shin, J.H.[Jeong-Ho],
Paik, J.K.[Joon-Ki],
Pattern Selective Image Fusion for Multi-focus Image Reconstruction,
CAIP05(677).
Springer DOI
0509
BibRef
Frechette, S.,
Ingle, V.K.,
Gradient based multifocus video image fusion,
AVSBS05(486-492).
IEEE DOI
0602
BibRef
Li, M.[Ming],
Wu, Y.[Yan],
Wu, S.J.[Shun-Jun],
A new pixel-level multi-focus image fusion algorithm based on
evolutionary strategy,
ICARCV04(II: 810-814).
IEEE DOI
0412
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Information Fusion, Sensor Fusion .