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Title
Fully Convolutional Network-Based Multifocus Image Fusion
Authors
Keywords
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Journal
NEURAL COMPUTATION
Volume 30, Issue 7, Pages 1775-1800
Publisher
MIT Press - Journals
Online
2018-06-13
DOI
10.1162/neco_a_01098
References
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Related references
Note: Only part of the references are listed.- Deep learning for pixel-level image fusion: Recent advances and future prospects
- (2018) Yu Liu et al. Information Fusion
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- Learning to simplify
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- (2016) Hongpeng Yin et al. NEUROCOMPUTING
- A New Pan-Sharpening Method With Deep Neural Networks
- (2015) Wei Huang et al. IEEE Geoscience and Remote Sensing Letters
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- (2014) Zhiqiang Zhou et al. Information Fusion
- Image Fusion With Guided Filtering
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- Image fusion based on pixel significance using cross bilateral filter
- (2013) B. K. Shreyamsha Kumar Signal Image and Video Processing
- Guided Image Filtering
- (2012) Kaiming He et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure
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- Multifocus and multispectral image fusion based on pixel significance using discrete cosine harmonic wavelet transform
- (2012) B. K. Shreyamsha Kumar Signal Image and Video Processing
- Image matting for fusion of multi-focus images in dynamic scenes
- (2011) Shutao Li et al. Information Fusion
- Fusion of multi-focus images using differential evolution algorithm
- (2010) V. Aslantas et al. EXPERT SYSTEMS WITH APPLICATIONS
- Multi-focus image fusion using a bilateral gradient-based sharpness criterion
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- Image fusion based on a new contourlet packet
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- Multifocus image fusion using the nonsubsampled contourlet transform
- (2009) Qiang Zhang et al. SIGNAL PROCESSING
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