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基于角点保护的偏微分方程图像插值方法

肖志涛 冯铁君 张芳 耿磊 吴骏 李月龙 王丹钰 陈颖

肖志涛, 冯铁君, 张芳, 耿磊, 吴骏, 李月龙, 王丹钰, 陈颖. 基于角点保护的偏微分方程图像插值方法[J]. 电子与信息学报, 2015, 37(8): 1892-1899. doi: 10.11999/JEIT141420
引用本文: 肖志涛, 冯铁君, 张芳, 耿磊, 吴骏, 李月龙, 王丹钰, 陈颖. 基于角点保护的偏微分方程图像插值方法[J]. 电子与信息学报, 2015, 37(8): 1892-1899. doi: 10.11999/JEIT141420
Xiao Zhi-tao, Feng Tie-jun, Zhang Fang, Geng Lei, Wu Jun, Li Yue-long, Wang Dan-yu, Chen Ying. Image Interpolation with Corner Preserving Based on Partial Differential Equation[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1892-1899. doi: 10.11999/JEIT141420
Citation: Xiao Zhi-tao, Feng Tie-jun, Zhang Fang, Geng Lei, Wu Jun, Li Yue-long, Wang Dan-yu, Chen Ying. Image Interpolation with Corner Preserving Based on Partial Differential Equation[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1892-1899. doi: 10.11999/JEIT141420

基于角点保护的偏微分方程图像插值方法

doi: 10.11999/JEIT141420

Image Interpolation with Corner Preserving Based on Partial Differential Equation

  • 摘要: 图像插值是数字图像处理领域中的一个基本问题,利用插值技术可以实现图像的缩放和图像恢复。传统的插值方法易使边缘产生锯齿效应或使插值结果模糊不清。该文提出一种基于角点保护的偏微分方程插值方法。该方法针对图像中不同的特征进行特定插值,在保持边缘结构清晰的同时,还能保护尖锐的角形结构,有效改善插值后图像的整体视觉效果和峰值信噪比。此外,对方程的主要参数进行分析,提出了相应的参数确定方法,从而提高该方法的适用性。
  • Jha A, Kumar A, Schaefer G, et al.. An efficient edge preserving image interpolation algorithm[C]. 3rd International Conference on Informatics, Electronics Vision (ICIEV), Dhaka, Bangladesh, 2014, DOI:10.1109/ ICIEV.2014.6850820.
    Yang Z, Lu F, and Guan L. Image enlargement and reduction with arbitrary accuracy through scaling relation of B-spline[J]. Journal of Computer-Aided Design and Computer Graphics, 2001, 13(9): 824-827.
    Sarti A, Mikula K, Sgallari F, et al.. Evolutionary partial differential equations for biomedical image processing[J]. Journal of Biomedical Informatics, 2002, 35: 77-91.
    Perona P and Malik J. Scale-space and edge detection using anisotropic diffusion[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 12(7): 629-639.
    朱宁, 吴静, 王忠谦. 图像放大的偏微分方程方法[J]. 计算机辅助设计与图形学学报, 2005, 39(3): 124-132.
    Zhu Ning, Wu Jing, and Wang Zhong-qian. Image zooming based on partial differential equations[J]. Journal of Computer-Aided Design and Computer Graphics, 2005, 39(3): 124-132.
    Aly H and Dubois E. Image up-sampling using total-variation regularization with a new observation model[J]. IEEE Transactions on Image Processing, 2005, 14(10): 1647-1659.
    邵文泽. 基于图像建模理论的多幅图像正则化超分辨率重建算法研究[D]. [博士论文], 南京理工大学, 2008.
    Shao Wen-ze. Image modeling based regularized multi-frame super-resolution reconstruction[D]. [Ph.D. dissertation], Nanjing University of Science and Technology, 2008.
    张帆. 基于偏微分方程与边缘检测的图像去噪算法[J]. 计算机工程与设计, 2014, 35(2): 562-566.
    Zhang Fan. Partial differential equation and edge detection based image denoising algorithm[J]. Computer Engineering and Design, 2014, 35(2): 562-566.
    Shao W and Wei Z. Edge-and-corner preserving regularization for image interpolation and reconstruction[J]. Image and Vision Computing, 2008, 26(12): 1591-1606.
    季成涛, 何小海, 符耀庆, 等. 一种基于正则化的边缘定向插值算法[J]. 电子与信息学报, 2014, 36(2): 293-297.
    Ji Cheng-tao, He Xiao-hai, Fu Yao-qing, et al.. An edge directed interpolation algorithm based on regularization[J]. Journal of Electronics Information Technology, 2014, 36(2): 293-297.
    Bini A and Bhat M. Selective image smoothing and feature enhancement using modified shock filters[C]. 8th Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI) Association of Thailand-Conference, Khon Kaen, 2011: 991-994.
    Zhang F, Liu W, Tang C, et al.. Variational denoising method for electronic speckle pattern interferometry[J]. Chinese Optics Letters, 2008, 6(1): 38-40.
    郭茂银. 基于四阶偏微分方程的并行图像去噪研究[D]. [硕士论文], 重庆邮电大学, 2011.
    Guo Mao-yin. The parallel image denoising research based on fourth-order PDE[D]. [Master dissertation], Chongqing University of Posts and Telecommunications, 2011.
    李朝锋, 唐国凤, 吴小俊, 等. 学习相位一致特征的无参考图像质量评价[J]. 电子与信息学报, 2013, 35(2): 484-488.
    Li Chao-feng, Tang Guo-feng, Wu Xiao-jun, et al.. No-reference image quality assessment with learning phase congruency feature[J]. Journal of Electronics Information Technology, 2013, 35(2): 484-488.
    姜求平, 邵枫, 蒋刚毅, 等. 基于视觉重要区域的立体图像视觉舒适度客观评价方法[J]. 电子与信息学报, 2014, 36(4): 875-881.
    Jiang Qiu-ping, Shao Feng, Jiang Gang-yi, et al.. An objective stereoscopic image visual comfort assessment metric based on visual important regions[J]. Journal of Electronics Information Technology, 2014, 36(4): 875-881.
    Gao R, Song J, and Tai X. Image zooming algorithm based on partial differential equations technique[J]. International Journal of Numerical Analysis and Modeling, 2009, 6(2): 284-292.
    Ye Z, Li X, and Li Y. Visual and artistic images denoising methods based on partial differential equation[J]. Journal of Multimedia, 2013, 8(3): 284-290.
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出版历程
  • 收稿日期:  2014-11-05
  • 修回日期:  2015-03-05
  • 刊出日期:  2015-08-19

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