生物医学工程 |
|
|
|
|
考虑小波系数相关性的超声图像降噪算法 |
宋坤坡1, 夏顺仁1, 徐清2 |
1.浙江大学 生物医学工程教育部重点实验室,浙江 杭州 310027;2. 浙江大学 校医院,浙江 杭州 310027 |
|
Algorithm considering correlation of wavelet coefficients for
ultrasound image denoising |
SONG Kun-po1, XIA Shun-ren1, XU Qing2 |
1.The Key Laboratory of Biomedical Engineering of Ministry of Education,Hangzhou 310027,China;
2. The Hospital of Zhejiang University,Hangzhou 310027,China |
[1] PIZURICA A, PHILIPS W, LEMAHIEU I, et al. A versatile wavelet domain noise filteration technique for medical imaging [J]. IEEE Trans Med Imaging, 2003, 22 (3): 323-331.
[2] SIMONCELLI E P, ADELSON E H. Noise removal via bayesian wavelet coring [C]∥ Proc 3rd Int Conf on Image Processing. Lausanne, Switzerland: Institute of Electrical and Electronics Engineers, 1996: 379-382.
[3] ACHIM A, BEZERIANOS A, TSAKALIDES P. Ultrasound image denoising via maximum a posteriori estimation of wavelet coefficients [C]∥ Proc IEEE EMBS 23rd Annual Int Conf. Istanbul: Institute of Electrical and Electronics Engineers, 2001: 2553-2556.
[4] GUPTA S, CHAUHAN R C, SAXENA S C. Locally adaptive wavelet domain bayesian processor for denoising medical ultrasound images using speckle modelling based on Rayleigh distribution[J]. IEEE Proc Vision Image Signal Process, 2005, 152(1): 129-135.
[5] HOU Jianhua, LIU Xiangming, XIONG Chengyi, et al. Speckle reduction algorithm for synthetic aperture radar images based on Bayesian maximum a posteriori estimation in wavelet domain [J]. Optical Engineering, 2008, 47(5), 057004.
[6] JAIN A K. Fundamental of digital image processing [M]. New Jersey: PrenticeHall,1989.
[7] CHANG S G, YU B, VETTERLI M. Adaptive wavelet thresholding for image denoising and compression [J]. IEEE Trans Image Process, 2000, 9(9):1135-1151.
[8] SENDUR L, SELESNICK I W. Bivariate shrinkage functions for restoration of images with waveletbased denoising exploiting interscale dependency [J]. IEEE Trans Signal Process, 2002, 50(11): 2744-2756.
[9] ACHIM A, TSAKALIDES P, BEZERIANOS A, SAR image denoising via Bayesian wavelet shrinkage based on heavytailed modeling [J]. IEEE Trans Geosci Remote Sens, 2003, 41(8): 1773-1784.
[10] LUISIER F, BLU T, UNSER M. A new SURE approach to image denoising: Interscale orthonormal wavelet thresholding [J]. IEEE Trans Image Process, 2007, 16(3): 593-606.
[11] PORTILLA J, STRELA V, WAINWRIGHT M J, et al. Image denoising using scale mixtures of gaussians in the wavelet domain [J]. IEEE Trans Image Process, 2003, 12(11): 1338-1351.
[12] 喻琪,夏顺仁,丛卫华,等. 基于小波系数相关性和模糊理论的声纳图像处理[J].浙江大学学报:工学报, 2008, 42(12), 2151-2155.
YU Qi, XIA Shunren, CONG Weihua, et al. Acoustic image processing based on correlation of wavelet coefficient and fuzzy theory [J]. Journal of Zhejiang University:Engineering Science, 2008, 42(12), 2151-2155.
[13] DUTT V, GREENLEAF J F. Adaptive speckle reduction filter for logcompressed BScan images [J]. IEEE Trans Med Imaging, 1996, 15(6): 802-813.
[14] AYSAL T C, BARNER K E. RayleighMaximumLikelihood filtering for speckle reduction of ultrasound images [J]. IEEE Trans Med Imaging, 2007, 26(5): 712-727. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|