A novel image fusion algorithm based on 2D scale-mixing complex wavelet transform and Bayesian MAP estimation for multimodal medical images
[1] Q. Wang, S. Li, H. Qin, A. Hao , “Robust multi-modal medical image fusion via anisotropic heat diffusion guided low-rank structural analysis,” Inf. Fusion 26, 103–121 (2015).
[2] D. Delbeke, R. E. Coleman, M. J. Guiberteau, M. L. Brown, H. D. Royal, B. a Siegel, D. W. Townsend, L. L. Berland, J. A. Parker, G. Zubal, V. Cronin , “Procedure guideline for SPECT/CT imaging 1.0,” J. Nucl. Med. 47, 1227–1234 (2006). ISI,
[3] P. Ganasala, V. Kumar , “CT and MR image fusion scheme in nonsubsampled contourlet transform domain,” J. Digit. Imaging 27, 407–418 (2014).
[4] W. Ha, P. H. Gowda, T. A. Howell , “A review of potential image fusion methods for remote sensing-based irrigation management: Part II,” Irrig. Sci. 31, 851–869 (2013).
[5] N. Uniyal, S. K. Verma , “Image fusion using morphological pyramid consistency method,” International Journal of Computer Applications 95, 34–38 (2014). Crossref,
[6] K. Amolins, Y. Zhang, P. Dare , “Wavelet based image fusion techniques — An introduction, review and comparison,” ISPRS J. Photogramm. Remote Sens. 62, 249–263 (2007).
[7] H. Li, B. S. Manjunath, S. K. Mitra , “Multisensor image fusion using the wavelet transform,” Graphical Models and Image Processing 57, 235–245 (1995). Crossref,
[8] L. Chiorean, M.-F. Vaida , Medical image fusion based on discrete wavelet transform using Java technology, Proc. ITI 2009 31st Int. Conf. Information Technology Interfaces, pp. 55–60 (2009).
[9] Y. Bo, J. Zhongliang, Z. Haitao , “Review of Pixel-Level Image Fusion, ” J. Shanghai Jiaotong Univ. (Sci.) 15, 6–12 (2010). Crossref,
[10] J. J. Lewis, R. J. O’Callaghan, S. G. Nikolov, D. R. Bull, N. Canagarajah , “Pixel- and region-based image fusion with complex wavelets,” Inf. Fusion 8, 119–130 (2007).
[11] J. Liu, P. Moulin , “Information-theoretic analysis of interscale and intrascale dependencies between image wavelet coefficients,” IEEE Trans. Imag. Process. 10, 1647–1658 (2001).
[12] S. Yin, L. Cao, Y. Ling, G. Jin , “Fusion of noisy infrared and visible images based on anisotropic bivariate shrinkage,” Infrared Phys. Technol. 54, 13–20 (2011).
[13] J. Yang, R. S. Blum , A statistical signal processing approach to image fusion using Hidden Markov Models, Multi-Sensor Image Fusion and Its Applications, pp. 256–287, Marcel Dekker/CRC (2005).
[14] S. Roy, T. Howlader, S. M. M. Rahman , “Image fusion technique using multivariate statistical model for wavelet coefficients,” Signal, Image Video Process. 7, 355–365 (2011).
[15] S. M. Mahbubur Rahman, M. Omair Ahmad, M. N. S. Swamy , “Contrast–based fusion of noisy images using discrete wavelet transform,” IET Image Process. 4, 374–384 (2010).
[16] A. Loza, D. Bull, N. Canagarajah, A. Achim , “Non-Gaussian model-based fusion of noisy images in the wavelet domain,” Comput. Vis. Image Underst. 114, 54–65 (2010).
[17] R. Singh, A. Khare , “Fusion of multimodal medical images using Daubechies complex wavelet transform — A multiresolution approach,” Inf. Fusion 19, 49–60 (2014).
[18] N. Kingsbury , “Image processing with complex wavelets,” Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 357, 2543–2560 (1999).
[19] M. L. Gavrilova, C. J. K. Tan, K. Saeed, N. Chaki, S. H. Shaikh , Transactions on Computational Science XXV, Vol 9030, Springer, New York (2015). Crossref,
[20] N. Kingsbury , “Complex wavelets for shift invariant analysis and filtering of signals,” Appl. Comput. Harmon Anal. 10, 234–253 (2001).
[21] A. L. Da Cunha, J. Zhou, M. N. Do , “The nonsubsampled contourlet transform: Theory, design, and applications,” IEEE Trans. Image Process. 15, 3089–3101 (2006).
[22] Q. Miao, C. Shi, P. Xu, M. Yang, Y. Shi , “A novel algorithm of image fusion using shearlets,” Opt. Commun. 284, 1540–1547 (2011).
[23] Y. Yang, Y. Que, S. Huang, P. Lin , “Multimodal sensor medical image fusion based on type-2 fuzzy logic in NSCT domain,” IEEE Sens. J. 16, 3735–3745 (2016).
[24] G. Bhatnagar, Q. M. J. Wu, Z. Liu , “A new contrast based multimodal medical image fusion framework,” Neurocomputing 157, 143–152 (2015).
[25] P. Ramírez-Cobo, K. S. Lee, A. Molini, A. Porporato, G. Katul, B. Vidakovic , “A wavelet-based spectral method for extracting self-similarity measures in time-varying two-dimensional rainfall maps,” J. Time Ser. Anal. 32, 351–363 (2011).
[26] N. Remenyi, O. Nicolis, G. Nason, B. Vidakovic , “Image denoising with 2D scale-mixing complex wavelet transforms,” IEEE Trans. Image Process. 23, 5165–5174 (2014).
[27] S. Mallat , A Wavelet Tour Signal Process, Academic Press, California (1999).
[28] S. M. M. Rahman, M. O. Ahmad, M. N. S. Swamy, “Statistics of 2-D DT-CWT coefficients for a Gaussian distributed signal,” IEEE Trans. Circuits Syst. I Regul. Pap. 55, 2013–2025 (2008).
[29] T. Howlader, Y. P. Chaubey , “Noise reduction of cDNA microarray images using complex wavelets,” IEEE Trans. Image Process. 19, 1953–1967 (2010).
[30] S. Barber, G. Nason , “Real nonparametric regression using complex wavelets,” J. R. Stat. Soc. Ser. B 66, 927–939 (2004). Crossref,
[31] M. Barkat , Signal Detection and Estimation, Artech House, London (2005).
[32] V. P. S. Naidu, J. R. Raol , “Pixel-level image fusion using wavelets and principal component analysis,” Def. Sci. J. 58, 338–352 (2008).
[33] R. Singh, R. Srivastava, O. Prakash, A. Khare , “Multimodal medical image fusion in dual tree complex wavelet transform domain using maximum and average fusion rules,” J. Med. Imag. Health Inf. 2, 168–173 (2012).
[34] O. Rockinger , “Image sequence fusion using a shift-invariant wavelet transform,” Proc. Int. Conf. Image Process. 3, 288–291 (1997). Crossref,
[35] B. K. Shreyamsha Kumar , “Multifocus and multispectral image fusion based on pixel significance using discrete cosine harmonic wavelet transform,” Signal Image Video Process. 7, 1125–1143 (2013).
[36] Q. Xiao-bo, Y. Jing-wen, Y. Gui-de , “Sum-modified-Laplacian-based Multifocus Image Fusion Method in Sharp Frequency Localized Contourlet Transform Domain,” Opt. Precis. Eng. 17, 1203–1202 (2009)
[37] Z. Zhou, S. Li, B. Wang , “Multi-scale weighted gradient-based fusion for multi-focus images,” Inf. Fusion 20, 60–72 (2014).
[38] B. K. Shreyamsha Kumar , “Image fusion based on pixel significance using cross bilateral filter,” Signal Image Video Process. 9, 1193–1204 (2015).
[39] K. Zhan, J. Teng, Q. Li, J. Shi , “A novel explicit multi-focus image fusion method,” J. Inf. Hiding Multimed. Sign. Process. 6, 600–612 (2015).
[40] P. Mohammadi, A. Ebrahimi-Moghadam, S. Shirani , “Subjective and objective quality assessment of image: A survey,” Majlesi J. Electr. Eng. 9, 55–83 (2014).
[41] B. V. Dasarathy , Multi-Sensor Image Fusion and Its Applications, CRC Press 2007.
[42] J. L. Crowley, J. Martin , Experimental comparison of correlation techniques, Proc. Int. Conf. Intelligent Autonomous Systems, Karlsruhe (1995).
[43] Z. Wang, E. P. Simoncelli, A. C. Bovik , “Multi-scale structural similarity for image quality assessment,” IEEE Asilomar Conf. Signals, Syst. Comput. 2, 9–13 (2003).
[44] H. R. Sheikh, A. C. Bovik , “Image information and visual quality,” IEEE Trans. Image Process. 15, 430–444 (2006).
[45] A. Mittal, R. Soundararajan, A. C. Bovik , “Making a ‘completely blind’ image quality analyzer,” IEEE Signal Process Lett. 20, 209–212 (2013).
[46] G. Piella, H. Heijmans , A new quality metric for image fusion, Proc. Int. Conf. Image Processing, pp. 173–176 (2003).
[47] A. Mittal, A. K. Moorthy, A. C. Bovik , “No-reference image quality assessment in the spatial domain,” IEEE Trans. Image Process. 21, 4695–4708 (2012).
Abdallah Bengueddoudj, Zoubeida Messali, Volodymyr Mosorov. A novel image fusion algorithm based on 2D scale-mixing complex wavelet transform and Bayesian MAP estimation for multimodal medical images[J]. Journal of Innovative Optical Health Sciences, 2017, 10(3): 1750001.
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