[1]
|
Jones D C, Bennett C R, Smith M A, et al. High-power beam transport through a hollow-core photonic bandgap fiber[J]. Optics Letters, 2014, 39(11):3122-3125. |
[2]
|
Knight J C, Birks T A, Russell P S J, et al. All-silica single-mode optical fiber with photonic crystal cladding[J]. Optics Letters, 1996, 21(19):1547-1549. |
[3]
|
Lou S Q, Lu W L, Wang X. A novel bend-resistant large-mode-area photonic crystal fiber[J]. Acta Phys, 2013, 62(4):044225. |
[4]
|
Fokoua E N, Sandoghchi S R, Chen Y, et al. Accurate modelling of fabricated hollow-core photonic bandgap fibers[J]. Optics Express, 2015, 23(18):23117. |
[5]
|
Wang L W, Lou S Q, Chen W G, et al. A novel method for rapidly modeling optical properties of actual photonic crystal fibers[J]. Chinese Physics B, 2010, 19(8):1-7. |
[6]
|
Shen Y, Lou S Q, Wang X. Novel estimation method of point spread function based on Kalman filter for accurately evaluating real optical properties of photonic crystal fibers[J]. Applied Optics, 2014, 53(9):1838-1845. |
[7]
|
Zhang Q, Maldague X. An adaptive fusion approach for infrared and visible images based on NSCT and compressed sensing[J]. Infrared Physics Technology, 2016, 74:11-20. |
[8]
|
Hao W L, Li J W, Dong Z C. An empirical study on compressed sensing MRI using fast composite splitting algorithm and combined sparsifying transforms[J]. International Journal of Imaging Systems and Technology, 2015, 25(4):302-309. |
[9]
|
Yang B X, Yuan M, Ma Y D. Local sparsity enhanced compressed sensing magnetic resonance imaging in uniform discrete curvelet domain[J]. BMC Medical Imaging, 2015, 15(28):1-17. |
[10]
|
Liu L K, Chan S H, Nguyen T Q. Depth reconstruction from sparse samples:representation, algorithm, and sampling[J]. IEEE Transactions on Image Processing, 2015, 24(6):1983-1996. |
[11]
|
Shen Y, Chen H J, Yao C, et al. Super-resolution reconstruction of compressed sensing mammogram based on contourlet transform[C]//SPIE, 2013, 8750:87500M. |
[12]
|
Hosseini M S, Plataniotis K N. High-accuracy total variation with application to compressed video sensing[J]. IEEE Trans on Image Processing, 2014, 23(9):3869-3884. |
[13]
|
Candes E J, Romberg J, Tao T. Robust uncertainty principles:Exact signal reconstruction from highly incomplete frequency information[J]. IEEE Trans on Information Theory, 2006, 52(1):489-509. |
[14]
|
Liu Y L, Mi T B, Li S D. Compressed sensing with general frames via optimal-dual-based-analysis[J]. IEEE Transactions on Information Theory, 2012, 58(7):4201-4214. |
[15]
|
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. |
[16]
|
Rudin L I, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms[J]. Physica D, 1992, 60:259-268. |
[17]
|
Getreuer P. Total variation deconvolution using split Bregman[J]. Image Processing on Line, 2012, 2:158-174. |
[18]
|
Shen Y, Wang X, Lou S Q, et al. Evaluation of optical properties for real photonic crystal fiber based on total variation in wavelet domain[J]. Optical Fiber Technology, 2016, 31:1-12. |