References
- Goshtasby, A., 2007, Image fusion: Advances in the state of the art. Information Fusion, 8, 114–118
- Deshmukh, M., and Bhosale, U., 2009, image fusion and image quality assessment of fused images. International Journal of Image Processing, 4, 489–508
- Angel, H., Ste-Croix, C., and Kittel, E., 2007, Review of fusion systems and contributing technologies For SIHS (Toronto, Canada: Defence Research and Development
- Yang, B., and Li, S., 2012, Pixel-level image fusion with simultaneous orthogonal matching pursuit. Information Fusion, 13, 10–19
- He, C., Liu, Q., et al. 2010, Multimodal medical image fusion based on IHS and PCA. Procedia Engineering, 7, 280–285
- Daneshvar, S., and Ghassemian, H., 2010, MRI and PET image fusion by combining IHS and retina-inspired models. Information Fusion, 11, 114–123
- Huang, S.-G. Wavelet for image fusion (Graduate Institute of Communication Engineering & Department of Electrical Engineering; National Taiwan University). http://djj.ee.ntu.edu.tw/Tutorial_Wavelet%20for%20Image%20Fusion.pdf
- Li, S., Yang, B., and Hu, J., 2011, Performance comparison of different multi resolution transforms for image fusion. Information Fusion, 12, 74–84
- Yang, Y., 2011, Performing wavelet based image fusion through different integration schemes. International Journal of Digital Content Technology and its Applications, 5, 156–166
- Lu, B., Wang, H., and Miao, C., 2011, Medical image fusion with adaptive local geometrical structure and wavelet transform. Procedia Environmental Sciences, 8, 262–269
- Yang, L., Guo, B.L., and Ni, W., 2008, Multimodality medical image fusion based on multiscale geometric analysis of contourlet transform. Neurocomputing, 72, 203–211
- Islam, M.M., Zhang, D., and Lu, G., Rotation invariant curvelet features for texture image retrieval (Australia: Gippsland School of Information Technology; Monash University). VIC 3842
- Alparone, L., Baronti, S., Garzelli, A., and Nencini, F., 2005, The curvelet transform for fusion of very-high resolution multispectral and panchromatic images. Global Developments in Environmental Earth Observation from Space, 2, 95–102
- Wang, P., Tian, H., and Zheng, W., 2013, A novel image fusion method based on FRFT-NSCT. Mathematical Problems in Engineering, vol. 2013, Article ID 408232, 9 pages, 2013. doi:10.1155/2013/408232
- Das, S., and Kundu, M.K., 2012, NSCT-based multimodal medical image fusion using pulse-coupled neural network and modified spatial frequency. Medical & Biological Engineering & Computing, 50.10, 1105–1114
- Wang, J., Lai, S., and Li, M., 2012, Improved Image Fusion Method Based on NSCT and Accelerated NMF. Sensors, 12.5, 5872–5887
- Savitha, V., Kadhambari, T., and Sheeba, R., 2014, Multimodality Medical Image Fusion Using NSCT. IJREAT International Journal of Research in Engineering & Advanced Technology, 1, http://www.ijreat.org/Papers%202013/Issue5/IJREATV1I6013.pdf
- Li, T., and Wang, Y., 2010, Multiscaled combination of MR and SPECT images in neuroimaging: A simplex method based variable-weight fusion (Department of Electronic Engineering, Fudan University). pp. 31–39
- Li, T., and Wang, Y., 2011, Biological image fusion using a NSCT based variable-weight method. Information Fusion, 12, 85–92
- M. N. Do and M. Vetterli, 2005, The contourlet transform: an efficient directional multiresolution image representation, IEEE Transactions on Image Processing, 14.12, 2091–2106
- da Cunha, L., Zhou, J., and Do, M.N., 2006, The nonsubsampled contourlet transform: Theory, design, and applications. IEEE Transactions on Image Processing, 15, 3089–3101
- Wang, L., Li, B., and Tian L.F., 2012, Multi-modal medical image fusion using the inter-scale and intra-scale dependencies between image shift-invariant shearlet coefficients. Information Fusion, 17, 1–9
- Dyla, M.H.O.M., and Tairi, H., 2012, Multi Focus Image Fusion Scheme Using A Combination Of Nonsubsampled Controurlet Transform And An Image Decomposition Model. Journal of Theoretical and Applied Information Technology, 38, 136–144