Bai X, Zhou F, Xue B. Edge preserved image fusion based on multiscale toggle contrast operator [J]. Image and Vision Computing, 2011, 29(12):829-839.
[2]
Li S, Kang X, Hu J. Image fusion with guided filtering [J]. IEEE Transactions on Image Processing, 2013, 22(7):2864-2875.
[3]
Miles B, Ayed I B, Law M W K, et al. Spine image fusion via graph cuts [J]. IEEE Transactions on Biomedical Engineering, 2013, 60(7): 1841-1850.
[4]
Liang J, He Y, Liu D, et al. Image fusion using higher order singular value decomposition [J]. IEEE Transactions on Image Processing, 2012, 21(5): 2898-2909.
[5]
Yu N, Qiu T, Bi F, et al. Image features extraction and fusion based on joint sparse representation [J]. IEEE Journal of Selected Topics in Signal Processing,2011,5(5):1074-1082.
[6]
Ellmauthaler A, Pagliari C L, Da Silva E A B. Multiscale image fusion using the undecimated wavelet transform with spectral factorization and nonorthogonal filter banks [J]. IEEE Transactions on Image Processing, 2013, 22(3): 1005-1017.
[7]
Liu Y, Jin J, Wang Q. Region level based multi-focus image fusion using quaternion wavelet and normalized cut [J]. Signal Processing, 2014, 97(4): 9-30.
[8]
Pradhan P S, King R L, Younan N H, et al. Estimation of the number of decomposition levels for a wavelet-based multiresolution multisensor image fusion [J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(12): 3674-3686.
[9]
Zhang Z, Blum R S. A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application [J]. Proceeding of the IEEE,1999, 87(8): 1315-1326.
[10]
Li S T, Wang Y N, Zhang C F. Feature of human vision system based multi-focus image fusion [J]. Acta Electronica Sinica, 2001, 29(12):1699-1701. [李树涛,王耀南,张昌凡. 基于视觉特性的多聚焦图像融合[J]. 电子学报,2001,29(12):1699-1701.]
[11]
Elbanby G, El Madbouly E, Abdalla A. Fuzzy principal component analysis for sensor fusion [C]//Proceedings of the IEEE 11th International Conference on Information Science, Signal Processing and their Applications. Montreal, Canada: IEEE, 2012:442-447.
[12]
Wang L, Lu D, Lv J F. Multi-focus image fusion scheme based on wavelet contrast [J]. Journal of Image and Graphics, 2008, 13(1):145-150. [王丽,卢迪,吕剑飞.一种基于小波方向对比度的多聚焦图像融合方法[J]. 中国图象图形学报,2008,13(1):145-150.][DOI:10.11834/jig.20080126]
[13]
Aiazzi B, Alparone L, Barducci A, et al. Multispectral fusion of multisensor image data by the generalized Laplacian pyramid [C]//IEEE International Conference on Geoscience and Remote Sensing Symposium. Hamburg: BRD, 1999: 1183-1185.
[14]
Petrovic V S, Xydeas C S. Gradient-based multiresolution image fusion [J]. IEEE Transactions on Image Processing, 2004, 13(2): 228-237.
[15]
Chipman L J, Orr T M, Graham L N. Wavelets and image fusion [C]//Proceedings of IEEE International Conference on Image Processing. Washington D C, America: IEEE, 1995: 248-251.
[16]
Yang Y, Park D S, Huang S, et al. Medical image fusion via an effective wavelet based approach [J]. EURASIP Journal on Advances in Signal Processing, 2010, 2010, 44:1-13.
[17]
Qu X B, Yan J W, Yang G D. Multifocus image fusion method of sharp frequency localized contourlet transform domain based on sum-modified-laplacian [J]. Optics and Precision Engineering, 2009, 17(5):1203-1211. [屈小波,闫敬文,杨贵德. 改进拉普拉斯能量和的尖锐频率局部化Contourlet域多聚焦图像融合方法[J]. 光学精密工程, 2009, 17(5): 1203-1211.]
[18]
Candès E J, Donoho D L. Curvelets: a surprisingly effective nonadaptive representation for objects with edges [R]. California: Stanford university department of Statistics, 2000.
[19]
Candès E J, Donoho D L. Recovering edges in ill-posed inverse problems: optimality of curvelet frames [J]. The Annals of Statistics, 2002, 30(3): 784-842.
[20]
Candès E J, Demanet L, Donoho D L, et al. Fast discrete curvelet transforms [J]. Muticale Modeling and Simulation. 2006, 5(3):861-899.
[21]
更多...
[22]
Li H F, Chai Y, Zhang X Y. Multifocus image fusion algorithm based on multiscale products and property of human visual system [J]. Control and Decision, 2012, 27(3):355-361. [李华锋,柴毅,张晓阳. 基于多尺度积视觉特性的多聚焦图像融合算法[J]. 控制与决策,2012,27(3):355-361.]
[23]
Li H, Guo L, Liu H. Research on image fusion based on the second generation curvelet transform [J]. Acta Optica Sinica, 2006,26(5):657-662. [李晖晖,郭雷,刘航. 基于二代curvelet变换的图像融合研究[J]. 光学学报,2006,26(5):657-662.].
[24]
Guo M, Fu Z, Xi X L. Novel fusion algorithm for infrared and visible images based on local energy in NSCT domain[J]. Infrared and Laser Engineering, 2012, 41(8): 2229-2235.[郭明,符拯,奚晓梁.基于局部能量的NSCT域红外与可见光图像融合算法[J].红外与激光工程,2012, 41(8): 2229-2235.]
[25]
Nayar S K, Nakagawa Y. Shape from focus [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994, 16(8):824-831.
[26]
Zhang X, Li X, Feng Y. A new image fusion performance measure using Riesz transforms [J]. Optik-International Journal for Light and Electron Optics, 2014, 125(3):1427-1433.
[27]
Xydeas C S, Petrovi? V. Objective image fusion performance measure [J]. Electronics Letters, 2000, 36(4):308-309.
[28]
Tian J, Chen L, Ma L, et al. Multi-focus image fusion using a bilateral gradient-based sharpness criterion[J]. Optics Communications, 2011, 284(1):80-87.