Mar 4, 2020 · This paper aims to propose a novel contextual adaptive fourth-order smoothing method for noise removal. The classical Laplacian operator is ...
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Abstract: This paper aims to propose a novel contextual adaptive fourth-order smoothing method for noise removal. The classical Laplacian operator is first ...
Mar 4, 2020 · This paper aims to propose a novel contextual adaptive fourth-order smoothing method for noise removal. The classical Laplacian operator is ...
This paper aims to propose a novel contextual adaptive fourth-order smoothing method for noise removal. The classical Laplacian operator is first modified into ...
In this paper, we propose a local and contextual controlled (LCC) fourth order PDE method for noise removal. In our method, two discontinuity measures are ...
In order to enhance the understanding of multivariate temporal structure, We propse the Multi-kernel Local Smoothing (MKLS) block which is used in conjunction ...
The use of constrained fourth order LDE reduces parameter estimation bias relative to second order LDE in almost all of the conditions simulated here. When a ...
May 3, 2022 · Fourth order bi-harmonic equation is extensively used for stress-strain analysis of mixed boundary-value elastic problems.
12 hours ago · First, we introduce noise into the original distribution. This noise is smooth and stable. Subsequently, we use a Self-adaptive Smoothing Factor ...
Fourth-order nonlinear diffusion filters used for image noise removal are mainly isotropic filters. It means that the spatially varying diffusivity ...