On a nonlinear laplacian based filter for noise removal

Fuente: arXiv
Saved in:
Bibliographic Details
Main Author: Hoang, Nguyen S
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866910575679766528
author Hoang, Nguyen S
author_facet Hoang, Nguyen S
contents We propose a nonlinear filter for noise removal based on the Laplacian for 1D and 2D data. The method utilizes the solution to a fourth-order nonlinear PDE involving the Laplacian for data reconstruction. Evolution equations are introduced to solve this fourth-order nonlinear equation. Numerical experiments show that the new filter preserves discontinuities while filtering out noise. The restored data are piecewise linear and avoid the staircase effect commonly observed with total variation denoising methods.
format Preprint
id arxiv_https___arxiv_org_abs_2408_13324
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On a nonlinear laplacian based filter for noise removal
Hoang, Nguyen S
Numerical Analysis
65D05, 41A05, 41A10
We propose a nonlinear filter for noise removal based on the Laplacian for 1D and 2D data. The method utilizes the solution to a fourth-order nonlinear PDE involving the Laplacian for data reconstruction. Evolution equations are introduced to solve this fourth-order nonlinear equation. Numerical experiments show that the new filter preserves discontinuities while filtering out noise. The restored data are piecewise linear and avoid the staircase effect commonly observed with total variation denoising methods.
title On a nonlinear laplacian based filter for noise removal
topic Numerical Analysis
65D05, 41A05, 41A10
url https://arxiv.org/abs/2408.13324