Page 122 - 《应用声学》2022年第1期

118 2022 年 1 月

于该算法进行有针对性的样本设计，实现不同灵敏 medical ultrasound images based on wavelet and bilat-
度要求下的图像降噪。 eral filter[J]. Journal of Image and Graphics, 2014, 19(1):
126–132.
[12] Jain V, Seung S. Natural image denoising with convolu-
tional networks[A]//Advances in Neural Information Pro-
参 考 文 献
cessing Systems, 2009: 769–776.
[13] Burger H C, Schuler C J, Harmeling S. Image denoising:
[1] 刘长福, 张彦新, 李中伟, 等. 超声波相控阵技术原理及特 can plain neural networks compete with BM3D?[A]//2012
点 [J]. 河北电力技术, 2008, 27(3): 29–31. IEEE Conference on Computer Vision and Pattern Recog-
Liu Changfu, Zhang Yanxin, Li Zhongwei, et al. the- nition. IEEE, 2012: 2392–2399.
ory and features of ultrasonic phased array technology[J]. [14] Mao X, Shen C, Yang Y B. Image restoration using very
Hebei Electric Power, 2008, 27(3): 29–31. deep convolutional encoder-decoder networks with sym-
[2] 李衍. 超声相控阵技术 [J]. 无损探伤, 2007, 31(4): 24–28. metric skip connections[A]//Advances in neural informa-
[3] Dean D S. A review of ultrasonic transducer arrays[J]. tion processing systems, 2016: 2802–2810.
British Journal of Non-Destructive Testing, 1979, 21(3): [15] Zhang K, Zuo W, Chen Y, et al. Beyond a gaussian de-
140–144. noiser: residual learning of deep cnn for image denois-
[4] 朱秀昌, 刘峰, 胡栋. 数字图像处理与图像通信 [M]. 北京: 北 ing[J]. IEEE Transactions on Image Processing, IEEE,
京邮电大学出版社, 2002: 45. 2017, 26(7): 3142–3155.
[5] Gonzales R C, Woods R E. Digital image processing[M]. [16] 张侃, 杨力, 王学权, 等. 超声相控阵技术的发展及其在核工
New Jersey: Prentice Hall, 2002. 程无损检测中的应用 [J]. 无损检测, 2017, 39(5): 42–48.
[6] Pratt W K, Wiley J. A Wiley-Interscience publica- Zhang Kan, Yang Li, Wang Xuequan, et al. Development
tion[A]//Digital Image Processing. Citeseer, 1978. of ultrasonic phased array technology and applications in
[7] Deng G, Cahill L W. An adaptive Gaussian filter for noise nondestructive testing of nuclear engineering[J]. Nonde-
reduction and edge detection[A]//1993 IEEe Conference structive Testing, 2017, 39(5): 42–48.
Record Nuclear Science Symposium and Medical Imaging [17] 李锦, 林书玉. 平面相控阵的尺寸对声波聚焦效果的影响 [J].
Conference. IEEE, 1993: 1615–1619. 应用声学, 2004, 23(3): 23–28.
[8] Tomasi C, Manduchi R. Bilateral filtering for gray and Li Jin, Lin Shuyu. Influence of phased array element size
color images[A]//Sixth International Conference on Com- on beam focusing behavior[J[. Applied Acoustics, 2004,
puter Vision (IEEE Cat. No. 98CH36271). IEEE, 1998: 23(3): 23–28.
839–846. [18] 万敏, 王海涛, 程继隆, 等. 超声相控阵声束控制特性分析 [J].
[9] Buades A, Coll B, Morel J M. A non-local algorithm 无损检测, 2009, 31(11): 859–861, 867.
for image denoising[A]//2005 IEEE Computer Society Wan Min, Wang Haitao, Cheng Jilong, et al. The analy-
Conference on Computer Vision and Pattern Recognition sis on the features of the propagating waves control of the
(CVPR’05). IEEE, 2005, 2: 60–65. ultrasonic phased array[J]. Nondestructive Testing, 2009,
[10] Dabov K, Foi A, Katkovnik V, et al. Image denois- 31(11): 859–861, 867.
ing by sparse 3-D transform-domain collaborative filter- [19] 李刚. 超声相控阵检测扇形扫描成像研究 [D]. 西安: 西安科
ing[J]. IEEE Transactions on Image Processing, IEEE, 技大学, 2019.
2007, 16(8): 2080–2095. [20] He K, Zhang X, Ren S, et al. Deep residual learning for
[11] 张聚, 王陈, 程芸. 小波与双边滤波的医学超声图像去噪 [J]. image recognition[A]//Proceedings of the IEEE Confer-
中国图象图形学报, 2014, 19(1): 126–132. ence on Computer Vision and Pattern Recognition, 2016:
Zhang Ju, Wang Chen, Cheng Yun. Despecking for 770–778.