[1] [1] Li Mengjie, Li Jing, Sun Yi. Sparse angular differential phase-contrast computed tomography reconstruction using L1-norm and curvelet constraints [J]. Acta Optica Sinica, 2014, 34(1): 0111003.

[2] [2] Ma Chenxin. Research on Key Techniques of Image Reconstruction [D]. Zhengzhou: The PLA Information Engineering University, 2011.

[3] [3] Wang Ge, Yu Hengyong, Bruno De Man. An outlook on X- Ray CT research and development [J]. Chinese Journal of Medical Instrumentation, 2008, 32(3): 157-169.

[4] [4] Fan Huiyun. Research on Filtered Backprojection Algorithms of CT Image Reconstruction [D]. Xi′an: Northwestern Polytechnical Unversity, 2007.

[5] [5] I A Feldkamp, L C Davis, J W Kress. Practical cone-beam algorithm [J]. J Opt Soc Am A, 1984, 1(6): 612-619.

[6] [6] Y Zou, X Pan. Image reconstruction on PI-lines by use of filtered backprojection in helical cone-beam CT [J]. Physics in Medicine and Biology, 2004, 49(12): 2717-2731.

[7] [7] L Rudin, S Osher, E Fatemi. Nonlinear total variation based noise removal algorithms [J]. Physica D, 1992, 60(1-4): 259-268.

[8] [8] V Y Panin, G L Zeng, G T Gullberg, et al.. Total variation regulated EM algorithm [J]. IEEE Tranctions on Nuclear Science, 1999, 46(6): 2202-2210.

[9] [9] Victor Solo. Total variation denoising in coloured noise [C].ICASSP 2000. 217-220.

[10] [10] A Chambolle, P L Liones. Image recovery via total variation minimization and related problems [J]. Number Math, 1997, 76(2): 167-188.

[11] [11] Zhou Dabiao, Li Gang, Wang Dejiang, et al.. Method of destriping stripe noise of aerial images based on total variation [J]. Acta Optica Sinica, 2014, 34(11): 1128003.

[12] [12] Wang Bin, Hu Liaolin, Cao Jingjing, et al.. Impulse noise removal method based on moreau envelope smoothing l1/TV norm model [J]. Acta Optica Sinica, 2014, 34(12): 1211002.

[13] [13] Li Yongle, Lou Jingtao, Zhang Maojun, et al.. Image restoration for catadioptric sefocus blur based on omni- total variation minimization [J]. Acta Optica Sinica, 2013, 33(8): 0811006.

[14] [14] E J Candes, J Romberg, T Tao. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information [J]. IEEE Trans Inf Theory 2006, 52(2): 489-509.

[15] [15] D L Donoho. Compressed sensing [J]. IEEE Trans Inf Theory 2006, 52(4): 1289-1306.

[16] [16] E J Candes, J Romberg, T Tao. Stable Signal recovery from incomplete and inaccurate measurements [J]. Comm Pure Appl Math, 2006, 59(8): 1207-1223.

[17] [17] E J Candes, M B Wakin. An introduction to compressive sampling [J]. IEEE Signal Process Mag, 2008, 21(2): 21-30.

[18] [18] E Y Sidky, C M Kao, X Pan. Accurate image reconstruction from few-views and limited-angle data in divergent beam CT [J]. X Ray Sci Technol, 2006, 14(2): 119-139.

[19] [19] E Y Sidky, X Pan. Image reconstruction in circular cone-beam computed tomography by constrained total variation minimization [J]. Phys Med Biol, 2008, 53(17): 4777-4807.

[20] [20] Ming Yan, A Luminita. Vese. Expectation maximization and total variation based model for computed tomography reconstruction from undersampled data [C]. SPIE, 2011, 7961: 79612X.

[21] [21] S M Johnston, G A Johnson, C T Badea. GPU-based iterative reconstruction with total variation minimization for micro-CT [C]. SPIE, 2010, 7622: 762238.

[22] [22] Zhanli Hu, Hairong Zheng. Improved total variation minimization method for few-view computed tomography image reconstruction [J]. BioMedical Engineering on Line, 2014, 13(6): 70.

[23] [23] Qiao Zhiwei, Wei Xueye, Han Yan. Study on numerial implement problem of filtered backprojection algorithm [J]. Mechanical Management and Development, 2009, 24(2):1-5.

[24] [24] Zhuang Tiange. The Principle and Algorithm of CT [M]. Shanghai: Shanghai Jiao Tong University Press, 1992.

[25] [25] Lu Zhaolin, Li Rulong, Li Tao, et al.. Infared image denoising based on total variation theory [J]. Laser Technology, 2012, 36(2): 194-195.

[26] [26] Bert Vandeghinste, Bart Goossens, Roel Van Holen, et al.. Iterative CT reconstruction using shearlet-based regularization [J]. IEEE Transactions on Nuclear Science, 2013, 60(5): 3305-3317.

[27] [27] Zhiqiang Chen, Xin Jin, Liang Li, et al.. A limited-angle CT reconstruction method based on anisotropic TV minimization [J]. Phys Med Biol, 2013, 58: 2119-2141.

[28] [28] Zhang Wei. Removing Salt and Pepper Noise Based on Variation Method [D]. Dalian: Dalian University of Technology, 2008.