Performance comparison of different multi-resolution transforms for image fusion

Information Fusion

Volumn 12, Issue 2, 2011, Pages 74-84

  Li, Shutao ^a   Yang, Bin ^a   Hu, Jianwen ^a  

^a HUNAN UNIVERSITY   (China)

Author keywords

Contourlet; Curvelet; Image fusion; Multi resolution transform; Wavelet

Indexed keywords

COMPOSITE IMAGES; CONTOURLETS; CURVELETS; DECOMPOSITION LEVEL; FUSION PERFORMANCE; HUMAN VISUAL PERCEPTION; IMAGE DECOMPOSITION; MEDICAL IMAGES; MULTI RESOLUTION DECOMPOSITION; MULTI-RESOLUTIONS; MULTIFOCUS IMAGES; MULTIPLE IMAGE; PERFORMANCE COMPARISON; SHIFT INVARIANT; VISIBLE IMAGE; WAVELET;

MEDICAL IMAGING; WAVELET TRANSFORMS;

IMAGE FUSION;

EID: 78650564982     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2010.03.002     Document Type: Article

References (39)

1. A.A. Goshtasby, and S. Nikolov Image fusion: advances in the state of the art Information Fusion 8 2 2007 114 118
2. V.S. Petrovic, and C.S. Xydeas Gradient-based multiresolution image fusion IEEE Transactions on Image Processing 13 2 2004 228 237
3. N. Mitianoudis, and T. Stathaki Pixel-based and region-based image fusion schemes using ICA bases Information Fusion 8 2 2007 131 142
4. A. Toet Image fusion by a ratio of low-pass pyramid Pattern Recognition Letters 9 4 1989 245 253
5. Z. Liu, K. Tsukada, K. Hanasaki, Y.K. Ho, and Y.P. Dai Image fusion by using steerable pyramid Pattern Recognition Letters 22 9 2001 929 939
6. H. Li, B. Manjunath, and S. Mitra Multisensor image fusion using the wavelet transform Graphical Models and Image Processing 57 3 1995 235 245
7. Z. Zhang, and R.S. Blum A categorization of multiscale-decomposition- based image fusion schemes with a performance study for a digital camera application Proceedings of the IEEE 87 8 1999 1315 1326
8. G. Pajares, and J. Cruz A wavelet-based image fusion tutorial Pattern Recognition 37 9 2004 1855 1872
9. G. Piella A general framework for multiresolution image fusion: from pixels to regions Information Fusion 4 4 2003 259 280
10. R. Redondo, F. Šroubek, S. Fischer, and G. Cristóbal Multifocus image fusion using the log-Gabor transform and a multisize windows technique Information Fusion 10 2 2009 163 171
11. S. Daneshvar, and H. Ghassemian MRI and PET image fusion by combining IHS and retina-inspired models Information Fusion 11 2 2010 114 123
12. M. Zribi Non-parametric and region-based image fusion with Bootstrap sampling Information Fusion 11 2 2010 85 94
13. P.T. Burt, and E.H. Andelson The Laplacian pyramid as a compact image code IEEE Transactions on Communications 31 4 1983 532 540
14. S. Mallat A Wavelet Tour of Signal Processing third ed. 2008 Academic Press
15. M. Unser Texture classification and segmentation using wavelet frames IEEE Transactions on Image Processing 4 11 1995 1549 1560
16. S.T. Li, J.T. Kwok, and Y.N. Wang Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images Information Fusion 3 1 2002 17 23
17. R. Singh, M. Vatsa, A. Noore, Multimodal medical image fusion using redundant discrete wavelet transform, in: Proceedings of the 7th International Conference on Advances in Pattern Recognition, Kolkata, West Bengal, TBD, India, 2009, pp. 232-235.
18. I.W. Selesnick, R.G. Baraniuk, and N.G. Kingsbury The dual-tree complex wavelet transform IEEE Signal Processing Magazine 22 6 2005 123 151
19. T. Wan, N. Canagarajah, and A. Achim Segmentation-driven image fusion based on alpha-stable modeling of wavelet coefficients IEEE Transactions on Multimedia 11 4 2009 624 633
20. B. Forster, D.V.D. Ville, J. Berent, D. Sage, and M. Unser Complex wavelets for extended depth-of-field: a new method for the fusion of multichannel microscopy images Microscopy Research Technique 65 1-2 2004 33 42
21. L.A. Ray, R.R. Adhami, Dual tree discrete wavelet transform with application to image fusion, in: Proceedings of the 38th Southeastern Symposium on System Theory, Huntsville, Albania, 2006, pp. 430-433.
22. E. Cands, L. Demanet, D. Donoho, and L.X. Ying Fast discrete curvelet transforms SIAM Multiscale Modeling and Simulation 5 3 2006 861 899
23. E.J. Cands, and D.L. Donoho Curvelets: a surprisingly effective nonadaptive representation for objects with edges A. Cohen, C. Rabut, L.L. Schumaker, Curve and Surface Fitting 2000 Vanderbilt University Press Nashville, TN, USA 105 120
24. 2 singularities Communications on Pure and Applied Mathematics 75 2 2004 219 266
25. F. Nencini, A. Garzelli, S. Baronti, and L. Alparone Remote sensing image fusion using the curvelet transform Information Fusion 8 2 2007 143 156
26. M. Choi, R.Y. Kim, M.G. Kim, The curvelet transform for image fusion, in: Proceedings of the 20th Congress of the International Society for Photogrammetry and Remote Sensing, Istanbul, Turkey, 2004, pp. 59-64.
27. L. Tessens, A. Ledda, A. Pizurica, W. Philips, Extending the depth of field in microscopy through curvelet-based frequency-adaptive image fusion, in: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, Hawaiian Islands, 2007, pp. 1861-1864.
28. A.G. Mahyari, M. Yazdi, A novel image fusion method using curvelet transform based on linear dependency test, in: Proceedings of International Conference on Digital Image Processing, Bangkok, Thailand, 2009, pp. 351-354.
29. M.N. Do, and M. Vetterli The contourlet transform: an efficient directional multiresolution image representation IEEE Transactions on Image Processing 14 12 2005 2091 2106
30. L. Yang, B.L. Guo, and W. Ni Multimodality medical image fusion based on multiscale geometric analysis of contourlet transform Neurocomputing 72 1-3 2008 203 211
31. S.Y. Yang, M. Wang, L.C. Jiao, R.X. Wua, and Z.X. Wang Image fusion based on a new contourlet packet Information Fusion 11 2 2010 78 84
32. L.D. Cunha, and J.P. Zhou The nonsubsampled contourlet transform: theory, design, and applications IEEE Transactions on Image Processing 15 10 2006 3089 3101
33. B. Yang, S.T. Li, F.M. Sun, Image fusion using nonsubsampled contourlet transform, in: Proceedings of the 4th International Conference on Image and Graphics, Sichuan, China, 2007, pp. 719-724.
34. Q. Zhang, and B.L. Guo Multi-focus image fusion using the nonsubsampled contourlet transform Signal Processing 89 7 2009 1334 1346
35. S. Zheng, W.Z. Shi, J. Liu, G.X. Zhu, and J.W. Tian Multisource image fusion method using support value transform IEEE Transactions on Image Processing 16 7 2007 1831 1839 (Pubitemid 47018880)
36. G.H. Qu, D.L. Zhang, and P.F. Yan Information measure for performance of image fusion Electronic Letters 38 7 2002 313 315
37. C.S. Xydeas, and V. Petrovic Objective image fusion performance measure Electronic Letters 36 4 2000 308 309
38. Z. Wang, and A. Bovik A universal image quality index IEEE Signal Processing Letters 9 3 2002 81 84
39. G. Piella, H. Heijmans, A new quality metric for image fusion, in: Proceedings of International Conference on Image Processing, Amsterdam, Netherlands, 2003, pp. 173-176.