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本文引用的文献
1
Adaptive noise smoothing filter for images with signal-dependent noise.
IEEE Trans Pattern Anal Mach Intell. 1985 Feb;7(2):165-77. doi: 10.1109/tpami.1985.4767641.
2
A model for radar images and its application to adaptive digital filtering of multiplicative noise.
IEEE Trans Pattern Anal Mach Intell. 1982 Feb;4(2):157-66. doi: 10.1109/tpami.1982.4767223.
3
Digital image enhancement and noise filtering by use of local statistics.
IEEE Trans Pattern Anal Mach Intell. 1980 Feb;2(2):165-8. doi: 10.1109/tpami.1980.4766994.
4
An ultrasonic imaging speckle-suppression and contrast-enhancement technique by means of frequency compounding and coded excitation.
IEEE Trans Ultrason Ferroelectr Freq Control. 2009 Jul;56(7):1327-39. doi: 10.1109/TUFFC.2009.1189.
5
Speckle noise reduction of medical ultrasound images in complex wavelet domain using mixture priors.
IEEE Trans Biomed Eng. 2008 Sep;55(9):2152-60. doi: 10.1109/TBME.2008.923140.
6
Medical image noise reduction using the Sylvester-Lyapunov equation.
IEEE Trans Image Process. 2008 Sep;17(9):1522-39. doi: 10.1109/TIP.2008.2001398.
7
Fundamental correlation lengths of coherent speckle in medical ultrasonic images.
IEEE Trans Ultrason Ferroelectr Freq Control. 1988;35(1):34-44. doi: 10.1109/58.4145.
8
A new efficient approach for the removal of impulse noise from highly corrupted images.
IEEE Trans Image Process. 1996;5(6):1012-25. doi: 10.1109/83.503916.
9
Snakes, shapes, and gradient vector flow.
IEEE Trans Image Process. 1998;7(3):359-69. doi: 10.1109/83.661186.
10
Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers.
IEEE Trans Ultrason Ferroelectr Freq Control. 1992;39(2):262-7. doi: 10.1109/58.139123.
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