[1] LI Y B, LI X L, JIANG Y M, et al.. Micro-focus X-ray CT and its application in nondestructive testing [J]. Nondestructive Testing, 1999, 21(12): 549-552. (in Chinese)
[2] WANG SH W. Medical Imaging Technology Tutorials [M]. Beijing: China Railway Press, 2007. (in Chinese)
[3] WANG J, LIANG Z, LU H, et al.. Recent development of low-dose X-ray cone-beam computed tomography [J]. Current Medical Imaging Reviews(CMIR) Journal, 2010, 6(2): 72- 81.
[4] LU H B, HSIAO I T, LI X, et al.. Noise properties of low-dose CT projections and noise treatment by scale transformation [C]. 2001 IEEE Nuclear Science Symposium Conference Record, San Diego: IEEE, 2002: 1662- 1666.
[5] LA P J, BILL MIRE D M. Reduction of noise-induced streak artifacts in X-ray computed tomography through spline based penalized likelihood sonogram smoothing [J]. IEEE Trans. Med. Image, 2005, 24(1): 105-111.
[6] WANG J, LI T, LU H, et al.. Penalized weighted least-squares approach to sonogram noise reduction and image reconstruction for low-dose X-ray computed tomography [J]. IEEE Trans. Med. Image, 2006, 25(10): 1272-283.
[9] ZHANG Y K, ZHANG J Y, LU H B. Noise Reduction of low-dose CT sinograms based on EM algorithm [J]. Acta Electronica Sinica, 2012, 40(1): 27-34. (in Chinese)
[10] IRRERA P, BLOCH I, DELPLANQUE M. A denoising method for whole-body low-dose X-ray images with adaptable parameter control [C]. 2013 IEEE 10th International Symposium on Biomedical Imaging, San Francisco, 2013: 1240-1243.
[11] RUDIN L, LIONS P L, OSHER S. Multiplicative Denoising and Deblurring: Theory and Algorithms [M]. New York: Springer New York, 2003: 103-119.
[12] FIGUEIREDO M A T, NOWAK R D, WRIGHT S J. Gradient projection to compressed sensing and other inverse problem [J]. Journal of Selected Topics in Signal Processing: Special Issue on Convex Optimization Methods for Signal Processing, 2007, 1(4): 586-598.
[14] WANG L, LU J M, LI Y Q, et al.. Noise removal for medical X-ray images in multiwavelet domain [C]. 2006 International Symposium on Intelligent Signal Processing and Communication Systems, Japan, 2006: 594-597.
[15] TANG X J. Image restoration research based on Regularization method [D]. Wuhan: Huazhong University of Science and Technology, 2006.