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Approximations for modulus of gradients and their applications to neighborhood filters

机译:梯度模的逼近及其在邻域滤波器中的应用

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We define an integral approximation for the modulus of the gradient |▽u(x)| for functions f: Ω ∈ R~n → R by modifying a classical result due to Calderon and Zygmund. Our integral approximations are more stable than the pointwise defined derivatives when applied to numerical differentiation for discrete data. We apply our results to design and analyse neighborhood filters. These filters correspond to well-behaved nonlinear heat equations with the conductivity decreasing with respect to the modulus of gradient |▽u(x)|. We also show some numerical experiments and evaluate the effectiveness of our filters.
机译:我们定义梯度模数|▽u(x)|的积分近似。对于函数f:通过修改Calderon和Zygmund的经典结果,Ω∈R〜n→R。当应用于离散数据的数值微分时,我们的积分近似比逐点定义的导数更稳定。我们将结果应用于设计和分析邻域过滤器。这些滤波器对应于行为良好的非线性热方程,其中电导率相对于梯度模量|▽u(x)|减小。我们还展示了一些数值实验并评估了滤波器的有效性。

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