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http://dx.doi.org/10.3837/tiis.2014.11.026

Multi-modality image fusion via generalized Riesz-wavelet transformation  

Jin, Bo (school of Aeronautics and Astronautics, Shanghai Jiao Tong University)
Jing, Zhongliang (School of Aeronautics and Astronautics, Shanghai Jiao Tong University)
Pan, Han (School of Aeronautics and Astronautics, Shanghai Jiao Tong University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.8, no.11, 2014 , pp. 4118-4136 More about this Journal
Abstract
To preserve the spatial consistency of low-level features, generalized Riesz-wavelet transform (GRWT) is adopted for fusing multi-modality images. The proposed method can capture the directional image structure arbitrarily by exploiting a suitable parameterization fusion model and additional structural information. Its fusion patterns are controlled by a heuristic fusion model based on image phase and coherence features. It can explore and keep the structural information efficiently and consistently. A performance analysis of the proposed method applied to real-world images demonstrates that it is competitive with the state-of-art fusion methods, especially in combining structural information.
Keywords
Image processing; image fusion; Riesz-wavelet transform; heurtics fusion model;
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1 C. Liu, Z. Jing, G. Xiao, B. Yang, "Feature-based fusion of infrared and visible dynamic images using target detection," Chinese optics letters, vol. 5, no. 5, pp. 274-277, May 10, 2007.
2 R. Plamondon and H.D. Cheng, "Pattern recognition: architectures, algorithms & applications," World Scientific, Vol. 29, May 14-18, 1991.
3 J. Han, O. Loffeld, K. Hartmann and R. Wang, "Multi image fusion based on compressive sensing", in Proc. of 2010 IEEE International Conference on Audio Language and Image Processing (ICALIP), pp. 1463-1469, November 23-25, 2010.
4 H. Pan, Z. Jing, R. Liu, B. Jin, "Simultaneous spatial-temporal image fusion using kalman filtered compressed sensing," Optical Engineering, vol. 51, no. 5, pp. 057005-1, May 22, 2012.   DOI
5 Q. Zhang, L. Wang, Z. Ma and H. Li, "A novel video fusion framework using surfacelet transform," Optics Communications, vol. 285, no. 13-14, pp. 3032-3041, June 15, 2012.   DOI   ScienceOn
6 H. Song and B. Huang, "Spatiotemporal satellite image fusion through one-pair image learning," IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 4, pp. 1883-1896, April, 2013.   DOI   ScienceOn
7 M. Unser and D. Van De Ville, "Wavelet steerability and the higher-order Riesz transform," IEEE Transactions on Image Processing, vol. 19, no. 3, pp. 636-652, March, 2010.   DOI   ScienceOn
8 B. Han, G. Kutyniok and Z. Shen, "Adaptive multiresolution analysis structures and shearlet systems," SIAM Journal on Numerical Analysis, vol. 49, no. 5, pp. 1921-1946, June 20, 2011.   DOI
9 Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Transactions on Image Processing, vol. 13, no. 4, pp. 600-612, April, 2004.   DOI   ScienceOn
10 L. Zhang, D. Zhang and X. Mou, "FSIM: a feature similarity index for image quality assessment," IEEE Transactions on Image Processing, vol. 20, no. 8, pp. 2378-2386, August, 2011.   DOI   ScienceOn
11 C. Xydeas and V. Petrovic, "Objective image fusion performance measure," Electronics Letters, vol. 36, no. 4, pp. 308-309, February 17, 2000.   DOI   ScienceOn
12 W.Q. Lim, "The discrete shearlet transform: A new directional transform and compactly supported shearlet frames," IEEE Transactions on Image Processing, vol. 19, no. 5, pp. 1166-1180, May, 2010.   DOI   ScienceOn
13 Y. M. Lu, C. Fredembach, M. Vetterli and S. Susstrunk, "Designing color filter arrays for the joint capture of visible and near-infrared images," in Proc. of 16th IEEE International Conference on Image Processing (ICIP), IEEE, pp. 3797-3800, November 7-10, 2009.
14 M. Felsberg and G. Sommer, "The monogenic signal," IEEE Transaction on Signal Processing, vol. 49, no. 12, pp. 3136-3144, December, 2001.   DOI   ScienceOn
15 Z. Jing, G. Xiao and Z. Li, "Image fusion: Theory and applications," Higher Education Press, Beijing, October, 2007.
16 O. Rockinger, "Image sequence fusion using a shift-invariant wavelet transform," in Proc. of International Conference on Image Processing, IEEE, Vol. 3, pp. 288-291, October, 1997.
17 B. Yang and Z. Jing, "Image fusion using a low-redundancy and nearly shift-invariant discrete wavelet frame," Optical Engineering, vol. 46, no. 10, 107002-107002-10, October, 2007.   DOI   ScienceOn
18 H.Wang, Z. Jing, J. Li and H. Leung, "Image fusion using non-separable wavelet frame," Intelligent Transportation Systems, 2003. Proceedings. IEEE, vol.2, pp.988-992, October 12-15, 2003.
19 Q.G. Miao, C. Shi, P.F. Xu, M. Yang and Y.B. Shi, "A novel algorithm of image fusion using shearlets," Optics Communications, vol. 284, no. 6, pp. 1540-1547, March 15, 2011.   DOI   ScienceOn
20 B. Guo, Q. Zhang and Y. Hou, "Region-based fusion of infrared and visible images using nonsubsampled contourlet transform," Chinese Optics Letters, vol. 6, no. 5, pp. 338-341, May 1, 2008.   DOI
21 Y. Chai, H. Li and M. Guo, "Multifocus image fusion scheme based on features of multiscale products and PCNN in lifting stationary wavelet domain," Optics Communications, vol. 284, no. 5, pp. 1146-1158, March 1, 2011.   DOI   ScienceOn
22 S. Li, H. Yin and L. Fang, "Remote sensing image fusion via sparse representations over learned dictionaries," IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 9, pp. 4779-4789, September, 2013.   DOI   ScienceOn
23 W.W. Kong, Y.J. Lei, Y. Lei, and S. Lu, "Image fusion technique based on non-subsampled contourlet transform and adaptive unit-fast-linking pulse-coupled neural network," Image Processing, IET, vol. 5, no. 2, pp. 113-121, March, 2011.   DOI   ScienceOn