| 一种基于前后向扩散的图像去噪与增强方法 |
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| 引用本文： | 杨学峰, 李金宗, 李冬冬, 朱兵. 一种基于前后向扩散的图像去噪与增强方法[J]. 武汉大学学报 ( 信息科学版), 2010, 35(8): 975-978. |
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| 作者姓名： | 杨学峰 李金宗 李冬冬 朱兵 |
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| 作者单位： | 1哈尔滨工业大学电子与信息工程学院,哈尔滨市西大直街92号150001 |
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| 基金项目： | 总装预研基金资助项目(51322020703) |
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| 摘 要： | 将各向异性前向扩散和后向扩散进行深度融合,提出了一种基于前后向扩散的图像去噪与增强方法。该方法利用非线性结构张量代替直接的梯度估计,增强对噪声的鲁棒性;将沿梯度方向增强的冲击滤波项改为按照自适应设定的阈值,进行前向扩散去噪和后向扩散增强的相互转换;对于角型结构,在与梯度垂直方向同样进行后向扩散,以增强角型纹理。实验结果表明,本文算法不仅有效去除了噪声,而且增强了纹理。
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| 关 键 词： | 各向异性扩散 冲击滤波器 结构张量 去噪 |
| 收稿时间： | 2010-06-15 |
| 修稿时间： | 2013-07-09 |
A Forward and Backward Diffusion Based on Image Denoising and Enhancement Method |
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| YANG Xuefeng, LI Jinzong, LI Dongdong, ZHU Bing. A Forward and Backward Diffusion Based on Image Denoising and Enhancement Method[J]. Geomatics and Information Science of Wuhan University, 2010, 35(8): 975-978. |
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| Authors: | YANG Xuefeng LI Jinzong LI Dongdong ZHU Bing |
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| Affiliation: | 1School of Electronics and Information Engineering,Harbin Institute of Technology,92 West Dazhi Street,Harbin 150001,China |
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| Abstract: | A novel forward and backward diffusion based image denoising and enhancement method is proposed.In the proposed method,the direct gradient computation is replaced by a nonlinear structure tensor(NLST) to increase the robustness to noise;The shock filter item along the gradient direction is replaced by a forward or backward diffusion according with the adaptive threshold value of gradient;The corner structure is also enhanced by performing a backward diffusion in corner region.Two experimental results show that the proposed algorithm not only removes noise,but also efficiently enhances image texture details and no artifacts are produced. |
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| Keywords: | anisotropic diffusion shock filter structure tensor denoising |
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