| 基于高斯曲率和变指数扩散系数的图像去噪模型 |
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| 引用本文： | 辛巧. 基于高斯曲率和变指数扩散系数的图像去噪模型[J]. 长春师范学院学报, 2011, 0(2): 10-13 |
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| 作者姓名： | 辛巧 |
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| 作者单位： | 伊犁师范学院数学系应用数学研究所; |
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| 基金项目： | 伊犁师范学院青年计划项目(2008QN001); 新疆高校科研计划重点项目(XJEDU2008I35) |
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| 摘 要： | 由于TV模型在去噪的过程中容易模糊小梯度边缘并产生虚假边缘,本文提出一种联合高斯曲率和变指数扩散系数的图像消噪模型。试验表明,该模型能更好地保留小梯度特征,减少虚假的边缘的产生。
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| 关 键 词： | 图像消噪 异性扩散 变分法 高斯曲率 |
Image De-noising Model Based on Gauss Curvature and the Diffusion Coefficient of Variable Exponent |
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| XIN Qiao. Image De-noising Model Based on Gauss Curvature and the Diffusion Coefficient of Variable Exponent[J]. Journal of Changchun Teachers College, 2011, 0(2): 10-13 |
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| Authors: | XIN Qiao |
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| Affiliation: | XIN Qiao(Department of Mathematics,Institute of Applied Mathematics,YiLi Normal University,Yining 835000,China) |
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| Abstract: | In the processing of image de-nosing,TV model can induce to blur small-scale edges and develop false edges.Therefore,this paper proposes an image de-noising model combining Gauss curvature and the diffusion coefficient of variable exponent.The tests indicate that the model can better preserve the small scale of image and decrease the effect of false edges. |
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| Keywords: | image de-nosing anisotropic diffusion calculus of variations Gauss curvature |
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