Optics and Precision Engineering, Volume. 24, Issue 7, 1763(2016)
Fusion of infrared and visible images combined with NSDTCT and sparse representation
[4] [4] DO M N, VETTERLI M. The contourlet transform: an efficient directional multiresolution image representation [J]. IEEE Transactions on Image Processing, 2005, 14(12): 2091-2106.
[5] [5] da CUNHA A L, ZHOU J P, DO M N. The nonsub-sampled contourlet transform: theory, design, and applications [J]. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.
[8] [8] YING M, LIU W, ZHAO X, et al.. Image denoising using trivariate prior model in nonsubsampled dual-tree complex contourlet transform domain and non-local means filter in spatial domain [J]. Optik, 2013, 124(24): 6896-6904.
[9] [9] KINGSBURY N. The dual-tree complex wavelet transform: a new efficient tool for image restoration and enhancement [C]. Proceedings of Europen Signal Processing Conforence, 1998: 319-322.
[10] [10] KINGSBURY N. A dual-tree complex wavelet transform with improved orthogonality and symmetry properties [C]. International Conference on Image Processing, 2000, 2: 375-378.
[11] [11] KINGSBURY N G. Design of Q-Shift complex wavelets for image processing using frequency domain energy minimization [C].Processing of IEEE International Conference on Image Processing, 2003: 1013-1016.
[12] [12] YANG B, LI S T.Multifocus image fusion and restoration with sparse representation [J]. IEEE Transactions on Instrumentation and Measurement, 2010, 59(4): 884-892.
[14] [14] DIANA D N, ANUSMINA D J. Fusion and restoration of multifocus image using sparse representation [C]. IEEE-International Conference on Advances in Engineering, Science and Management, 2012: 291-296.
[15] [15] YAN R M, SHAO L, LIU Y. Nonlocal hierarchical dictionary using wavelets for image denoising [J]. IEEE Transactions on Image Processing, 2013, 22(12): 4689-4698.
[16] [16] LIU Y, LIU S P, WANG Z F. A general framework for image fusion based on multi-scale transform and sparse representation [J]. Information Fusion, 2015, 24(7): 147-164.
[18] [18] WANG Z B, MA Y. Medical image fusion using m-PCNN [J]. Information Fusion, 2008, 9(2): 176-185.
[19] [19] ZHANG B H, LU X Q, JIA W T. A multi-focus image fusion algorithm based on an improved dual-channel PCNN in NSCT domain [J]. Optik, 2013, 124(20): 4104-4109.
[20] [20] CHIHIRO I, ZHANG S J, YOKO U, et al.. A novel fusion algorithm for visible and infrared image using non-subsampled contourlet transform and pulse-coupled neural network[C]. IEEE-International Conference on Computer Vision Theory and Applications(VISAPP), 2014: 160-164.
[21] [21] CHEN J, ZHANG B, QI Y, et al.. Image edge detection method based on multi-structure and multi-scale mathematical morphology [J]. International Conference on Multimedia Technology, 2010: 1-4.
[22] [22] CUI P, NI L. Joint reconstruction algorithm for distributed compressed sensing [J]. Infrared and Laser Engineering, 2015, 44(12): 3825-3830.(in Chinese)
[23] [23] ZHANG X L, LI X F, LI J. Validation and correlation analysis of metrics for evaluating performance of image fusion [J]. Acta Automatica Sinica, 2014, 40(2): 306-315.(in Chinese)
Get Citation
Copy Citation Text
YIN Ming, DUAN Pu-hong, CHU Biao, LIANG Xiang-yu. Fusion of infrared and visible images combined with NSDTCT and sparse representation[J]. Optics and Precision Engineering, 2016, 24(7): 1763
Category:
Received: Feb. 26, 2016
Accepted: --
Published Online: Aug. 29, 2016
The Author Email: