Infrared polarization and intensity image fusion based on bivariate BEMD and sparse representation
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Title
Infrared polarization and intensity image fusion based on bivariate BEMD and sparse representation
Authors
Keywords
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Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-09-30
DOI
10.1007/s11042-020-09860-z
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- (2016) Pan Zhu et al. INFRARED PHYSICS & TECHNOLOGY
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- (2015) Zhaodong Liu et al. OPTICS COMMUNICATIONS
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- Image Features Extraction and Fusion Based on Joint Sparse Representation
- (2011) Nannan Yu et al. IEEE Journal of Selected Topics in Signal Processing
- Contrast-based fusion of noisy images using discrete wavelet transform
- (2010) S.M. Mahbubur Rahman et al. IET Image Processing
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- (2010) Shutao Li et al. Information Fusion
- Pixel-level image fusion with simultaneous orthogonal matching pursuit
- (2010) Bin Yang et al. Information Fusion
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- (2009) Bin Yang et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
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- (2009) D. Looney et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Multivariate empirical mode decomposition
- (2009) N. Rehman et al. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Fusing remote sensing images using à trous wavelet transform and empirical mode decomposition
- (2007) Shao-hui Chen et al. PATTERN RECOGNITION LETTERS
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