液晶与显示, 2016, 31 (5): 477, 网络出版: 2016-06-06   

基于图像局部方向特性的自适应全变分去噪模型

Adaptive directional total variation denoising model based on image local direction
作者单位
四川理工学院 自动化与电子信息学院,四川 自贡 643000
引用该论文

唐玲, 陈明举. 基于图像局部方向特性的自适应全变分去噪模型[J]. 液晶与显示, 2016, 31(5): 477.

TANG Ling, CHEN Ming-ju. Adaptive directional total variation denoising model based on image local direction[J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(5): 477.

参考文献

[1] RUDIN L, OSHER S, FATEMI E. Nonlinear total variation based noise removal algorithms [J].Physica D: Nonlinear Phenomena, 1992, 60(14): 259-268.

[2] CHAMBOLLE A. An algorithm for total variation minimization and applications [J].Journal of Mathematical Imaging and Vision, 2004, 20(2): 89-97.

[3] BECK A, TEBOULLE M. Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems [J]. IEEE Transactions on Image Processing, 2009, 18(11): 2419-2434.

[4] 赵文达,赵建,韩希珍,等.基于变分偏微分方程的红外图像增强算法研究[J].液晶与显示,2014,29(2): 281-285.

    ZHAO W D, ZHAO J, HAN X Z,et al. Infrared image enhancement based on variational partial differential equations [J]. Chinese Journal of Liquid Crystals and Displays, 2014, 29(2): 281-285. (in Chinese)

[5] LYSAKER M, LUNDERVOLD A, TAI X C. Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time [J]. IEEE Transactions on Image Processing, 2003, 12(12): 1579-1590.

[6] LIU X W, HUANG L H, GUO Z Y. Adaptive fourth-order partial differential equation filter for image denoising [J]. Applied Mathematics Letters, 2011, 24(8): 1282-1288.

[7] SONG B. Topics in variational PDE image segmentation, inpainting and denoising [D]. Los Angeles, USA: University of California, 2003.

[8] 张红英,彭启琮.全变分自适应图像去噪模型[J].光电工程,2006,33(3): 50-53.

    ZHANG H Y, PENG Q C. Adaptive image denoising model based on total variation [J]. Opto-Electronic Engineering, 2006, 33(3): 50-53. (in Chinese)

[9] 陈明举,杨平先,王晶.基于正则化与保真项全变分自适应图像去噪模型[J].重庆邮电大学学报: 自然科学版,2011,23(5): 621-625.

    CHEN M J, YANG P X, WANG J.An adaptive total variational denoising model based on LP norm and fidelity term [J]. Journal of Chongqing University of Posts and Telecommunications: Natural Science Edition, 2011, 23(5): 621-625. (in Chinese)

[10] GILBOA G, SOCHEN N,ZEEVI Y Y. Image enhancement and denoising by complex diffusion processes [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(8): 1020-1036.

[11] FU S, ZHANG C. Adaptive non-convex total variation regularisation for image restoration [J]. Electronics Letters, 2010, 46(13): 907-908.

[12] 陈明举,杨平先,唐玲.一种自适应非线性复扩散图像去噪算法[J].光电工程,2012,39(12): 91-96.

    CHEN M J, YANG P X, TANG L. An adaptive complex diffusion processes for image denoising [J]. Opto-Electronic Engineering, 2012, 39(12): 91-96. (in Chinese)

[13] FIGUEIREDO M A T, BIOUCAS-DIAS J M, NOWAK R D. Majorization-minimization algorithms for wavelet-based image restoration [J]. IEEE Transactions on Image Processing, 2007, 16(12): 2980-2991.

[14] 马昌凤.最优化方法及其Matlab程序设计[M].北京: 科学出版社,2009: 261-262.

    MA C F.Optimization Method and Matlab [M]. Beijing: Science Press, 2009: 261-262. (in Chinese)

唐玲, 陈明举. 基于图像局部方向特性的自适应全变分去噪模型[J]. 液晶与显示, 2016, 31(5): 477. TANG Ling, CHEN Ming-ju. Adaptive directional total variation denoising model based on image local direction[J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(5): 477.

本文已被 6 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!