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A significant number of researchers have applied deep learning methods to image fusion.
“Objective image fusion performance measure,”
C. S. Xydeas and V. Pv, · 2000
Earlier work this paper cites.
“Image registration by maximization of combined mutual information and gradient information,”
J. P. W. Pluim and J. B. A. Maintz, · 2000
Earlier work this paper cites.
Mathematical Problems in Image Processing
G. Aubert and P. Kornprobst, · 2002
Earlier work this paper cites.
“Image fusion using complex wavelets,”
P. Hill, · 2003
Earlier work this paper cites.
“A new quality metric for image fusion,”
G. Piella and H. Heijmans, · 2003
Earlier work this paper cites.
“Multi-resolution image fusion technique and its application to forensic science,”
C. Y. Wen and J. K. Chen, · 2004
Earlier work this paper cites.
“A novel metric for performance evaluation of image fusion algorithms,”
N. Cvejic, A. Loza, D. R. Bull, and C. N. Canagarajah, · 2005
Earlier work this paper cites.
“Image fusion using a nsdfb-based contourlet packet,”
S. Yang, W. Min, Z. W. Liu, and L. Jiao, · 2008
Earlier work this paper cites.
“Dictionaries for sparse representation modeling,”
R. Rubinstein, S. Member, IEEE, A. M. Bruckstein, and Member, · 2010
Earlier work this paper cites.
“Joint patch clustering-based dictionary learning for multimodal image fusion.,”
M. Kim, D. K. Han, and H. Ko, · 2010
Cited alongside, same era.
“Total variation regularization-based pixel level image fusion,”
M. Kumar, · 2010
Cited alongside, same era.
“Contrast-enhanced fusion of multisensor images using subband-decomposed multiscale retinex,”
J. H. Jang, Y. Bae, and J. B. Ra, · 2012
Cited alongside, same era.
“The multiscale directional bilateral filter and its application to multisensor image fusion,”
J. Hu and S. Li, · 2012
Cited alongside, same era.
“Group-sparse representation with dictionary learning for medical image denoising and fusion,”
S Li, H Yin, and L Fang, · 2012
Cited alongside, same era.
“Medical image fusion: A survey of the state of the art,”
A. P. James and B. V. Dasarathy, · 2014
“Pixel-level image fusion: A survey of the state of the art,”
S. Li, X. Kang, L. Fang, J. Hu, and H. Yin, · 2017
Later among the works it cites.
“Multi-focus image fusion with a deep convolutional neural network,”
Yu Liu, Xun Chen, Hu Peng, and Zengfu Wang, · 2017
Later among the works it cites.
“Deep image prior,”
D Ulyanov, A. Vedaldi, and V. Lempitsky, · 2017
Later among the works it cites.
“Multi sensor image fusion for surveillance applications using hybrid image fusion algorithm,”
N. Paramanandham and K. Rajendiran, · 2018
Later among the works it cites.
“Infrared and visible image fusion using a deep learning framework,”
L. Hui, X. J. Wu, and J. Kittler, · 2018
Later among the works it cites.
“Densefuse: A fusion approach to infrared and visible images,”
L. Hui and X. J. Wu, · 2018
Later among the works it cites.
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Cited alongside, same era.
“Image fusion with local spectral consistency and dynamic gradient sparsity,”
C. Chen, Y. Li, L. Wei, and J. Huang, · 2014
Cited alongside, same era.
“Joint video fusion and super resolution based on markov random fields,”
Jin Chen, Jose Nunez-Yanez, and Alin Achim, · 2014
Cited alongside, same era.
“Image fusion via sparse regularization with non-convex penalties,”
N. Anantrasirichai, R. Zheng, I. Selesnick, and A. Achim, · 2020
Later among the works it cites.
“Fusion of magnetic resonance and ultrasound images for endometriosis detection,”
O. E. Mansouri, F. Vidal, A. Basarab, P. Payoux, and J. Y. Tourneret, · 2020
Later among the works it cites.