独特性
正规化(语言学)
拉普拉斯算子
操作员(生物学)
应用数学
数学
降噪
非线性系统
图像去噪
数学分析
计算机科学
数学优化
人工智能
物理
抑制因子
基因
转录因子
化学
量子力学
生物化学
摘要
Local and nonlocal regularization methods have attracted an extensive interest in image denoising. In this paper, we propose two hybrid energy functionals that benefit from the local Laplacian regularization in homogeneous regions and the nonlocal Laplacian regularization in texture regions. The existence and uniqueness of solutions for the gradient flows, which are local and nonlocal coupled fourth-order evolution equations, are proven via the fixed point method. We consider nonlinear generalizations of the coupled equations for image denoising by proposing a new fourth-order operator that reduces the contrast losing effect of the second-order operator. The operator splitting method is adopted for the numerical implementation such that the local and nonlocal parts are handled separately. By numerical experiments, we illustrate that the proposed equations inherit advantages of the local and nonlocal methods for image denoising.
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