摘 要:
针对传统扩散模型中的边界模糊问题,提出一种基于非局部信息的非线性偏微分方程去噪模型.在新模型中引入非局部梯度以探测图像边界,在区域内部和边界处以不同的速度进行扩散,从而达到去噪和边界保持的效果.数值计算采用单边格式计算非局部梯度,以防止离散情形下边界信息的损失.理论分析和数值实验结果表明了此模型的有效性.[著者文摘]

文章出处:
《吉林大学学报:理学版》-2007年45卷6期 -935-936页
栏目信息:
分 类 号:
文献标识码:
A
文章编号:
1671-5489(2007)06-0935-02
Nonlocal Partial Differential Equation Model for Image Denoising
LU Bi-bo, GUO Zhi-chang, CAO Yang, LI Mei-hui, HU Xin-yao ( Institute of Mathematics, Jilin University, Changchun 130012, China)
Abstract:
A nonlinear partial differential equation model based on nonlocal information was proposed to remove noise and preserve the edges. Nonlocal gradient is introduced to detect the edges and adjust the speed of the diffusion inside and outside the smooth region. One-side scheme is taken for calculating the nonlocal gradient norm to preserve edge information in discret situation. Theorical analysis and numerical results demonstrate the performance of the new method.[著者文摘]
Key words:
image denoising; nonlocal information; partial differential equation
基金资助:
国家自然科学基金(批准号:10531040;10671082)和国家自然科学基金委员会“国家人才培养基地本科生科研项目”资助基金(批准号:J0630104)

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