[1] LI Yanan. Ultrasonic endoscope digital imaging system[D]. Tianjin: Tianjin University, 2013: 1-4.
[2] GENG Jie, LI Quanlu, LI Na, et al. Research and development trends of medical ultra- sonic endoscope[J]. Chinese Journal of Medical Physics, 2010, 27(5): 2122-2124.
[3] SANCHES J M, LAINE A F, SURI J S. Ultrasound Imaging: Advances and Applications[M]. Berlin: Springer, 2012: 49-50.
[4] ZHANG Ju, WANG Chen, CHENG Yun. Despeckling Algorithm for Medical Ultrasound Images Based on Wavelet and Bilateral Filter[J]. Journal of Image and Graphics, 2014, 19(1): 126-132.
[5] Lee J. Digital image enhancement and noise filtering by use of local statistics[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828), 1980, 2(2): 165-168.
[6] Frost V S, Stiles J A, Shanmugan K S, et al. A model for radar images and its application to adaptive digital filtering of multiplicative noise[J]. IEEE Transactions Pattern Analysis and Machine Intelligence(S0162-8828), 1982, 4(2): 157-166.
[7] Balocco S, Gatta C, Pujol O, et al. SRBF: speckle reducing bilateral filtering[J]. Ultrasound in Medicine and Biology (S0301-5629), 2010, 36(8): 1353-1363.
[8] YU Yongjian, Acton Scott T. Speckle reducing anisotropic diffusion[J]. IEEE Transactions Image Processing(S1057-7149), 2002, 11(11): 1260-1270.
[9] Aja-Fernndez S, Alberola-López C. On the estimation of the coefficient of variation for anisotropic diffusion speckle fltering[J]. IEEE Transactions on Image Processing(S1057-7149), 2006, 15(9): 2694-2701.
[10] YU Jinhua, TAN Jinglu, WANG Yuanyuan. Ultrasound speckle reduction by a SUSAN-controlled anisotropic diffusion method[J]. Pattern Recognition(S0031-3203), 2010, 43(9): 3083-3092.
[11] Krissian K, Westin C, Kikinis R, et al. Oriented speckle reducing anisotropic diffusion[J]. IEEE Transactions Image Processing(S1057-7149), 2007, 16(5): 1412-1424.
[12] Coupé P, Hellier P, Kervrann C, et al. Nonlocal means-based speckle filtering for ultrasound Images[J]. IEEE Transactions on Image Processing(S1057-7149), 2009, 18(10): 2221-2229.
[13] Deledalle C, Denis L, Tupin F. Iterative weighted maximum likelihood denoising with probabilistic patch based weights[J]. IEEE Transactions on Image Processing(S1057-7149), 2009, 18(12): 2661-2672.
[14] GUO Y, WANG Y, HOU T. Speckle filtering of ultrasonic images using a modified non local-based algorithm[J]. Biomedical Signal Processing and Control(S1746-8094), 2011, 6: 129-138.
[15] Mohl B, Wahlberg M, Madsen P T. Ideal spatial adaptation via wavelet shrinkage[J]. The Journal of the Acoustical Society of America(S0016-8033), 2003, 114: 1143-1154.
[16] Andria G, Attivissimo F, Cavone G, et al. Linear filtering of 2-D wavelet coefficients for denoising ultrasound medical images[J]. Measurement(S0263-2241), 2012, 45: 1792-1800.
[17] FENF Kaimei. Medical Imaging Equipment[M]. Beijing: People's Medical Publishing House, 2008: 20-30.
[18] Volder J E. The CORDIC Trigonometric Computing Technique[J]. IRE Transactions on Electronics Computers(S0367-9950), 1959, 8(3): 330-334.
[19] Daubechies Ingrid, Swendens Wim. Factoring Wavelet Transforms into Lifting Steps[J]. Journal of Fourier Analysis and Applications(S1069-5869), 1998, 4(3): 247-269.
[20] David H Foos, Edward Muka, Richard M Slone. JPEG2000 compression of medical imagery[J]. Proceedings of SPIE(S0277-786X), 2002, 3980(12): 85-96.
[21] LI Qiuni, CHAO Ainong, SHI Deqin, et al. A novel image denoising method of wavelet semi-soft threshold[J]. Computer Engineering and Science, 2014, 36(8): 1566-1570.
[22] XIA Yuwen. Verilog Digital System Design[M]. Beijing: Beihang University Press, 2008: 149-154.
