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使用半高斯核的冲击扩散滤波图像盲复原方法

徐焕宇 孙权森 陈强 罗楠 夏德深

徐焕宇, 孙权森, 陈强, 罗楠, 夏德深. 使用半高斯核的冲击扩散滤波图像盲复原方法. 自动化学报, 2014, 40(6): 1166-1175. doi: 10.3724/SP.J.1004.2014.01166
引用本文: 徐焕宇, 孙权森, 陈强, 罗楠, 夏德深. 使用半高斯核的冲击扩散滤波图像盲复原方法. 自动化学报, 2014, 40(6): 1166-1175. doi: 10.3724/SP.J.1004.2014.01166
XU Huan-Yu, SUN Quan-Sen, CHEN Qiang, LUO Nan, XIA De-Shen. Blind Image Restoration Using Half Gaussian Kernel Based Shock-diffusion Filter. ACTA AUTOMATICA SINICA, 2014, 40(6): 1166-1175. doi: 10.3724/SP.J.1004.2014.01166
Citation: XU Huan-Yu, SUN Quan-Sen, CHEN Qiang, LUO Nan, XIA De-Shen. Blind Image Restoration Using Half Gaussian Kernel Based Shock-diffusion Filter. ACTA AUTOMATICA SINICA, 2014, 40(6): 1166-1175. doi: 10.3724/SP.J.1004.2014.01166

使用半高斯核的冲击扩散滤波图像盲复原方法

doi: 10.3724/SP.J.1004.2014.01166
基金项目: 

国家自然科学基金(61273251,61003108),中央高校基本科研业务费专项资金(NUST2011ZDJH26)资助

详细信息
    作者简介:

    陈强 南京理工大学副教授. 主要研究方向为模式识别与图像处理.E-mail:chen2qiang@mail.njust.edu.cn

Blind Image Restoration Using Half Gaussian Kernel Based Shock-diffusion Filter

Funds: 

Supported by National Natural Science Foundation of China (61273251, 61003108) and the Fundamental Research Funds for the Central Universities (NUST2011ZDJH26)

  • 摘要: 提出一种冲击扩散模型对含有模糊与噪声的退化图像进行盲复原.该方法使用半高斯核提取图像边缘的精确方向,并且对不同的图像区域使用不同的冲击扩散策略.实验结果表明,所提出的方法能够有效地消除图像中的噪声并增强边缘,同时能够保存小物体与角落等图像结构.相比于其他方法,所提出方法的复原图像拥有更好的视觉效果与更高图像评价指标.
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    [2] Zheng Yu-Hui, Zhang Jian-Wei, Chen Yun-Jie, Sun Quan-Sen. Weighted curvature-preserving PDE based image regularization method. Acta Automatica Sinica, 2011, 37(10): 1175-1182(郑钰辉, 张建伟, 陈允杰, 孙权森. 加权型曲率保持PDE图像滤波方法. 自动化学报, 2011, 37(10): 1175-1182)
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出版历程
  • 收稿日期:  2013-01-17
  • 修回日期:  2013-05-29
  • 刊出日期:  2014-06-20

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