激光与光电子学进展, 2013, 50 (12): 120101, 网络出版: 2013-11-19   

基于时域特性的多帧湍流退化图像复原算法

Multiframe Turbulence-Degraded Image Restoration Method Based on Temporal Signature
作者单位
1 中国科学院核能安全技术研究所, 安徽 合肥 230031
2 安徽建筑大学电子与信息工程学院, 安徽 合肥 230601
引用该论文

邵慧, 汪建业, 徐鹏, 杨明翰. 基于时域特性的多帧湍流退化图像复原算法[J]. 激光与光电子学进展, 2013, 50(12): 120101.

Shao Hui, Wang Jianye, Xu Peng, Yang Minghan. Multiframe Turbulence-Degraded Image Restoration Method Based on Temporal Signature[J]. Laser & Optoelectronics Progress, 2013, 50(12): 120101.

参考文献

[1] 饶瑞中. 光在湍流大气中的传输[M]. 合肥: 安徽科学技术出版社, 2005.

    Rao Ruizhong. Light Propagation in the Turbulent Atmosphere[M]. Hefei: Anhui Science & Technology Publishing House, 2005.

[2] Omri Shacham, Oren Haik, Yitzhak Yitzhaky. Blind restoration of atmospherically degraded images by automatic best step-edge detection[J]. Pattern Recogn Lett, 2007, 28(15): 2094-2103.

[3] X Zhu, P Milanfar. Removing atmospheric turbulence via space-invariant deconvolution[J]. IEEE Trans Pattern Analysis and Machine Intelligence, 2013, 35(1): 157-170.

[4] Ayers G A, Dainty J C. Iterative blind deconvolution method and its applications[J]. Opt Lett, 1988, 13(7): 547-549.

[5] 邵明省, 王其华. 基于蛙跳算法的模糊图像复原[J]. 激光与光电子学进展, 2012, 49(2): 021003.

    Shao Mingsheng, Wang Qihua. Blurred image restoration based on frog leaping algorithm[J]. Laser & Optoelectronics Progress, 2012, 49(2): 021003.

[6] 周峰,叶然, 李光伟, 等. 大视场波前编码成像系统中的图像复原[J]. 光学学报, 2010, 30(2): 388-393.

    Zhou Feng, Ye Ran, Li Guangwei, et al.. Image restoration in a wavefront coding imaging system with a wide field of view[J]. Acta Optica Sinica, 2010, 30(2): 388-393.

[7] 邵慧, 汪建业, 徐鹏. 基于Huber正则化二阶加速Richardson-Lucy湍流图像复原算法[J]. 量子电子学报, 2012, 29(6): 657-664.

    Shao Hui, Wang Jianye, Xu Peng. Turbulence-degraded image restoration method using the second-order accelerated Richardson-Lucy algorithm based on Huber regularization[J]. Chinese Journal of Quantum Electronics, 2012, 29(6): 657-664.

[8] 黄建明, 沈忙作. 基于噪声特性的大气湍流退化图像多帧盲反卷积复原[J]. 光学学报, 2008, 28(9): 1686-1690.

    Huang Jianming, Shen Mangzuo. Multiframe blind deconvolution restoration of atmospheric turbulence-degraded images based on noise characteristic[J]. Acta Optica Sinica, 2008, 28(9): 1686-1690.

[9] T Schulz. Multiframe blind deconvolution of astronomical images[J]. J Opt Soc Am A, 1993, 10(5): 1064-1073.

[10] Sheppard D G, Hunt B R, Marcellin M W. Iterative multi frame superresolution algorithms for atmospheric-turbulence-degraded imagery[J]. J Opt Soc Am A, 1998, 15(4): 978-992.

[11] 李铁成, 陶小平, 冯华君, 等. 基于倾斜刃边法的调制传递函数计算及图像复原[J]. 光学学报, 2010, 30(10): 2891-2897.

    Li Tiecheng, Tao Xiaoping, Feng Huajun, et al.. MTF calculation and image restoration based on slant-edge method[J]. Acta Optica Sinica, 2010, 30(10): 2891-2897.

[12] 陶小平, 冯华君, 赵巨峰, 等. 结合基于梯度的振铃评价算法的总变分最小化图像分块复原法[J]. 光学学报, 2009, 29(11): 3025-3030.

    Tao Xiaoping, Feng Huajun, Zhao Jufeng, et al.. A total-variation majorization-minimization sectioned restoration algorithm with gradient ringing metric image quality assessment[J]. Acta Optica Sinica, 2009, 29(11): 3025-3030.

[13] Stefan Harmeling, Michael Hirsch, Suvrit Sra, et al.. Online blind deconvolution for astronomical imaging[C]. ICCP, 2009.

[14] V Katkovnik, D Paliy, K Egiazarian. Frequency domain blind deconvolution in multiframe imaging using anisotropic spatially-adaptive denoising[C]. EUSIPCO, 2006.

[15] M Shimizu, S Yoshimura, M Tanaka, et al.. Superresolution from image sequence under influence of hot-air optical turbulence[C]. CVPR, 2008.

[16] 邹谋炎. 反卷积与信号复原[M]. 北京: 国防工业出版社, 2004.

    Zou Mouyan. Deconvolution and Signal Recovery[M]. Beijing: National Defence Industry Press, 2004.

[17] F Sroubek, P Milanfar. Robust multichannel blind deconvolution via fast alternating minimization[J]. Image Processing, 2012, 21(4): 1687-1700.

[18] Kanaev A, Miller C W. Confidence measures of optical flow for multi-frame image reconstruction[C]. Computational Optical Sensing and Imaging, 2012.

[19] Dongfeng Shi, Chengyu Fan , Hong Shen, et al.. Restoration of atmospheric turbulence degraded images[J]. Opt Commun, 2011, 284(24): 5556-5561.

[20] 罗林, 王黎, 程卫东, 等. 天文图像多帧盲反卷积收敛性的增强方法[J]. 物理学报, 2009, 55(12): 6708-6714.

    Luo Lin, Wang Li, Cheng Weidong, et al.. Approaches to convergence enhancement of multiframe blind deconvolution of astronomical images[J]. Acta Physica Sinica, 2006, 55(12): 6708-6714.

[21] B R Frieden. Probability, Statistical Optics, and Data Testing[M]. Berlin: Springer-Verlag, 1983.

[22] D A Hope, S M Jefferies.Compact multiframe blind deconvolution[J]. Opt Lett, 2011, 36(6): 867-869.

[23] Andrews H C, Hunt B R. Digital Image Restoration[M]. Englewood Cliffs: Prentice Hall, 1977.

[24] J M Bardsley, C R Vogel. A nonnegatively constrained convex programming method for image reconstruction[J]. SIAM J Sci Comput, 2004, 25(4): 1326-1343.

[25] E F Y Hom, F Marchis, T K Lee, et al.. AIDA: an adaptive image deconvolution algorithm with application to multi-frame and three-dimensional data[J]. J Opt Soc Am A, 2007, 24(6): 1580-1600.

[26] 李永乐, 娄静涛, 张茂军, 等. 基于全向总变分最小化的折反射散焦模糊图像复原方法[J]. 光学学报, 2013, 33(8): 0811006.

    Li Yongle, Lou Jingtao, Zhang Maojun, et al.. Image restoration for catadioptric defocus blur based on omni-total variation minimization[J]. Acta Optica Sinica, 2013, 33(8): 0811006.

邵慧, 汪建业, 徐鹏, 杨明翰. 基于时域特性的多帧湍流退化图像复原算法[J]. 激光与光电子学进展, 2013, 50(12): 120101. Shao Hui, Wang Jianye, Xu Peng, Yang Minghan. Multiframe Turbulence-Degraded Image Restoration Method Based on Temporal Signature[J]. Laser & Optoelectronics Progress, 2013, 50(12): 120101.

本文已被 1 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!