Multi-Focus Fusion, Multi-Focal Fusion

Chapter Contents (Back)
Fusion. Focus. Multi-Focus Fusion.
See also Depth and Shape from Focus, Changing Camera Parameters.

Li, S.T.[Shu-Tao], Kwok, J.T.[James T.], Wang, Y.N.[Yao-Nan],
Multifocus image fusion using artificial neural networks,
PRL(23), No. 8, June 2002, pp. 985-997.
Elsevier DOI 0204

Li, S.T.[Shu-Tao], Peng, J.L.[Jing-Lin], Kwok, J.T.[James T.], Zhang, J.[Jing],
Multimodal Registration using the Discrete Wavelet Frame Transform,
ICPR06(III: 877-880).

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 fusion,
JVCIR(19), No. 1, January 2008, pp. 12-19.
Elsevier DOI 0711
Wigner Distribution; Image fusion; Multifocus BibRef

Huang, W.[Wei], Jing, Z.L.[Zhong-Liang],
Evaluation of focus measures in multi-focus image fusion,
PRL(28), No. 4, 1 March 2007, pp. 493-500.
Elsevier DOI 0701
Image fusion; Multi-focus; Focus measure; Spatial frequency BibRef

Huang, W.[Wei], Jing, Z.L.[Zhong-Liang],
Multi-focus image fusion using pulse coupled neural network,
PRL(28), No. 9, 1 July 2007, pp. 1123-1132.
Elsevier DOI 0704
Multi-focus image fusion; Pulse coupled neural network BibRef

Wang, Z.B.[Zhao-Bin], Ma, Y.D.[Yi-De], Gu, J.[Jason],
Multi-focus image fusion using PCNN,
PR(43), No. 6, June 2010, pp. 2003-2016.
Elsevier DOI 1003
PCNN; Image fusion; Focus measure BibRef

Wan, T.[Tao], Zhu, C.C.[Chen-Chen], Qin, Z.C.[Zeng-Chang],
Multifocus image fusion based on robust principal component analysis,
PRL(34), No. 9, July 2013, pp. 1001-1008.
Elsevier DOI 1305
Earlier: A1, A3, Only:
An application of compressive sensing for image fusion,
DOI Link 1007
Multifocus image fusion; Robust principal component analysis; Sparse features; Low-rank matrix BibRef

Kang, B., Zhu, W.P., Yan, J.,
Fusion framework for multi-focus images based on compressed sensing,
IET-IPR(7), No. 4, 2013, pp. 290-299.
DOI Link 1307

Li, H.F.[Hua-Feng], Chai, Y.[Yi], Li, Z.F.[Zhao-Fei],
A new fusion scheme for multifocus images based on focused pixels detection,
MVA(24), No. 6, August 2013, pp. 1167-1181.
WWW Link. 1307

Benes, R.[Radek], Dvorak, P.[Pavel], Faundez-Zanuy, M.[Marcos], Espinosa-Duró, V.[Virginia], Mekyska, J.[Jiri],
Multi-focus thermal image fusion,
PRL(34), No. 5, 1 April 2013, pp. 536-544.
Elsevier DOI 1303
Thermal image; Focus; Fusion BibRef

Xia, X.H.[Xiao-Hua], Fang, S.P.[Su-Ping], Xiao, Y.[Yan],
High resolution image fusion algorithm based on multi-focused region extraction,
PRL(45), No. 1, 2014, pp. 115-120.
Elsevier DOI 1407
High resolution image BibRef

Cao, L.[Liu], Jin, L.X.[Long-Xu], Tao, H.J.[Hong-Jiang], Li, G.N.[Guo-Ning], Zhuang, Z.[Zhuang], Zhang, Y.[Yanfu],
Multi-Focus Image Fusion Based on Spatial Frequency in Discrete Cosine Transform Domain,
SPLetters(22), No. 2, February 2015, pp. 220-224.
discrete cosine transforms BibRef

Bavirisetti, D.P.[Durga Prasad], Dhuli, R.[Ravindra],
Multi-focus image fusion using maximum symmetric surround saliency detection,
ELCVIA(14), No. 2, 2015, pp. xx-yy.
DOI Link 1601

Boshtayeva, M.[Madina], Hafner, D.[David], Weickert, J.[Joachim],
A focus fusion framework with anisotropic depth map smoothing,
PR(48), No. 11, 2015, pp. 3310-3323.
Elsevier DOI 1506
Earlier: A1, A2, Only:
Focus Fusion with Anisotropic Depth Map Smoothing,
Springer DOI 1311
Focus fusion BibRef

Zhang, Q., Levine, M.D.,
Robust Multi-Focus Image Fusion Using Multi-Task Sparse Representation and Spatial Context,
IP(25), No. 5, May 2016, pp. 2045-2058.
feature extraction BibRef

Kaplan, N.H., Erer, I., Ersoy, O.,
Fusion of multifocus images by lattice structures,
JVCIR(38), No. 1, 2016, pp. 848-857.
Elsevier DOI 1605
Image fusion BibRef

Unni, V.S., Mishra, D.[Deepak], Subrahmanyam, G.R.K.S.,
Adaptive multifocus image fusion using block compressed sensing with smoothed projected Landweber integration in the wavelet domain,
JOSA-A(33), No. 12, December 2016, pp. 2516-2525.
DOI Link 1612
Image processing; Wavelets; Fusion BibRef

Luo, X.Q.[Xiao-Qing], Zhang, Z.C.[Zhan-Cheng], Zhang, C.Y.[Cui-Ying], 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,
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], Riaz, M.M.[M. Mohsin], 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

Yang, Y.[Yong], Que, Y.[Yue], Huang, S.Y.[Shu-Ying], Lin, P.[Pan],
Technique for multi-focus image fusion based on fuzzy-adaptive pulse-coupled neural network,
SIViP(11), No. 3, March 2017, pp. 439-446.
WWW Link. 1702

Gao, R., Vorobyov, S.A., Zhao, H.,
Image Fusion With Cosparse Analysis Operator,
SPLetters(24), No. 7, July 2017, pp. 943-947.
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], Flores, J.[Juan],
Multi-focus image fusion by local optimization over sliding windows,
SIViP(12), No. 5, July 2018, pp. 869-876.
WWW Link. 1806

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.
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. 1906

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.
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.
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.
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,
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.
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.
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

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.
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.
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.
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 fully convolutional neural network,
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

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

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

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

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

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

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

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.
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.
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

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

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.
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.
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

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.
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.
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.
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

Xu, C.[Chang], Liu, J.Y.[Jia-Yuan], Nguyen, C.[Chuong], Casten, F.[Fabien], Maujean, B.[Benoit], Gasparini, S.[Simone],
3D reconstruction of insects: an improved multifocus stacking and an evaluation of learning-based MVS approaches,
Surface reconstruction, Solid modeling, Image resolution, Insects, Stacking, Cameras, 3D reconstruction, insects, multifocus stacking, image alignment BibRef

Dehghani, N.[Nikoo], Kabir, E.[Ehsanollah],
A Multi-Focus Image Fusion Method based on Fractal Dimension and Guided Filtering,
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,
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,
Springer DOI 2003

Nian, Z., Jung, C.,
CNN-Based Multi-Focus Image Fusion with Light Field Data,
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,
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,
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,
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,
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,
Springer DOI 1602

Roosta, I., Karimi, N., Samavi, S., Shirani, S.,
Multifocus image fusion based on surface area analysis,
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,
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,

Chai, Y.[Yong], Wang, W.[Wen], He, Y.[You],
Multi Focus Image Fusion Based on Spline Pyramidal Direction Filter Banks,

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,

Saeedi, J.[Jamal], Faez, K.[Karim], Mozaffari, S.[Saeed],
Multi-focus Image Fusion Based on Fuzzy and Wavelet Transform,
Springer DOI 0911

Saeedi, J.[Jamal], Moradi, M.H.[Mohammad Hassan], Abedi, A.[Ali],
Image Denoising Based on Fuzzy and Intra-scale Dependency in Wavelet Transform Domain,

Saeedi, J.[Jamal], Abedi, A.[Ali],
Wavelet-Based Multi-Channel Image Denoising Using Fuzzy Logic,
Springer DOI 1006

Maik, V.[Vivek], Shin, J.H.[Jeong-Ho], Paik, J.K.[Joon-Ki],
Pattern Selective Image Fusion for Multi-focus Image Reconstruction,
Springer DOI 0509

Frechette, S., Ingle, V.K.,
Gradient based multifocus video image fusion,

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).

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Information Fusion, Sensor Fusion .

Last update:Aug 31, 2023 at 09:37:21