中国激光, 2019, 46 (9): 0906002, 网络出版: 2019-09-10   

基于Armijo线搜索的布里渊散射谱图像降噪算法 下载: 913次

Brillouin Scattering Spectral Image Denoising Algorithm Based on Armijo Line Search
作者单位
华北电力大学电子与通信工程系, 河北 保定 071003
引用该论文

尚秋峰, 秦文婕, 胡雨婷. 基于Armijo线搜索的布里渊散射谱图像降噪算法[J]. 中国激光, 2019, 46(9): 0906002.

Shang Qiufeng, Qin Wenjie, Hu Yuting. Brillouin Scattering Spectral Image Denoising Algorithm Based on Armijo Line Search[J]. Chinese Journal of Lasers, 2019, 46(9): 0906002.

参考文献

[1] 尚秋峰, 胡雨婷. 基于布里渊光时域分析的动态测量技术研究进展[J]. 激光与光电子学进展, 2018, 55(10): 100004.

    Shang Q F, Hu Y T. Research progress of dynamic measurement technology based on Brillouin optical time-domain analysis[J]. Laser & Optoelectronics Progress, 2018, 55(10): 100004.

[2] Bao X Y, Chen L. Recent progress in Brillouin scattering based fiber sensors[J]. Sensors, 2011, 11(4): 4152-4187.

[3] 李存磊. 基于多波长光源的布里渊光纤传感系统研究[D]. 南京: 南京大学, 2012.

    Li CL. Research on the system of Brillouin optical fiber sensor based on multi-wavelength light source[D]. Nanjing: Nanjing University, 2012.

[4] Farahani M A, Colpitts B G, Castillo-Guerra E. Reduction of measurement time in BOTDA sensors using wavelet shrinkage[J]. Proceedings of SPIE, 2011, 7753: 77532E.

[5] Farahani M A. Wylie M T V, Castillo-Guerra E, et al. Reduction in the number of averages required in BOTDA sensors using wavelet denoising techniques[J]. Journal of Lightwave Technology, 2012, 30(8): 1134-1142.

[6] Soto M A, Ramírez J A, Thévenaz L. Intensifying Brillouin distributed fibre sensors using image processing[J]. Proceedings of SPIE, 2015, 9634: 96342D.

[7] Soto M A, Ramírez J A, Thévenaz L. Intensifying the response of distributed optical fibre sensors using 2D and 3D image restoration[J]. Nature Communications, 2016, 7: 10870.

[8] Soto M A, Ramírez J A, Thévenaz L. Image and video denoising for distributed optical fibre sensors[J]. Proceedings of SPIE, 2017, 10323: 103230K.

[9] 孟彦杰, 查剑锋. Kuwahara滤波在布里渊光时域分析传感图像去噪中的应用[J]. 激光与光电子学进展, 2018, 55(7): 070607.

    Meng Y J, Zha J F. Application of kuwahara filter in Brillouin optical time-domain analysis sensing image denoising[J]. Laser & Optoelectronics Progress, 2018, 55(7): 070607.

[10] Meng Y J, Zha J F, Liu Y X. Intensifying the SNR of BOTDA using adaptive constrained least squares filtering[J]. Optics Communications, 2019, 437: 219-225.

[11] 侯榆青, 张欢, 杨旭朗, 等. 全变分图像复原的研究及其三种数值方法比较[ C]∥全国第二届信号处理与应用学术会议论文集, 2018-10-12,广西, 南宁.[S.l.]: 中国高科技产业化研究会, 2008: 301- 303.

    Hou YQ, ZhangH, Yang XL, et al. Research on total variational image restoration and comparison of three numerical methods[ C]∥The 2nd National Conference on Signal Processing and Application Conference, October 12, 2008, Nanning, Guangxi.[S.l.]: China High-Tech Industrialization Association.2008: 301- 303.

[12] Rudin L I, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms[J]. Physica D: Nonlinear Phenomena, 1992, 60: 259-268.

[13] Rudin LI, OsherS. Total variation based image restoration with free local constraints[C]∥1st International Conference on Image Processing, November 13-16, 1994, Austin, TX, USA. New York: IEEE, 1994: 31- 35.

[14] Vogel C R, Oman M E. Iterative methods for total variation denoising[J]. SIAM Journal on Scientific Computing, 1996, 17(1): 227-238.

[15] 李彬, 李刚. 基于Armijo准则的自适应稳定转换法[J]. 计算力学学报, 2018, 35(4): 399-407.

    Li B, Li G. Armijo-based adaptive stability transformation method[J]. Chinese Journal of Computational Mechanics, 2018, 35(4): 399-407.

尚秋峰, 秦文婕, 胡雨婷. 基于Armijo线搜索的布里渊散射谱图像降噪算法[J]. 中国激光, 2019, 46(9): 0906002. Shang Qiufeng, Qin Wenjie, Hu Yuting. Brillouin Scattering Spectral Image Denoising Algorithm Based on Armijo Line Search[J]. Chinese Journal of Lasers, 2019, 46(9): 0906002.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!