HPM-Based Dynamic Sparse Grid Approach for Perona-Malik Equation

The Perona-Malik equation is a famous image edge-preserved denoising model, which is represented as a nonlinear 2-dimension partial differential equation. Based on the homotopy perturbation method (HPM) and the multiscale interpolation theory, a dynamic sparse grid method for Perona-Malik was constr...

Full description

Saved in:
Bibliographic Details
Main Authors: Shu-Li Mei, De-Hai Zhu
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/417486
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832563747646865408
author Shu-Li Mei
De-Hai Zhu
author_facet Shu-Li Mei
De-Hai Zhu
author_sort Shu-Li Mei
collection DOAJ
description The Perona-Malik equation is a famous image edge-preserved denoising model, which is represented as a nonlinear 2-dimension partial differential equation. Based on the homotopy perturbation method (HPM) and the multiscale interpolation theory, a dynamic sparse grid method for Perona-Malik was constructed in this paper. Compared with the traditional multiscale numerical techniques, the proposed method is independent of the basis function. In this method, a dynamic choice scheme of external grid points is proposed to eliminate the artifacts introduced by the partitioning technique. In order to decrease the calculation amount introduced by the change of the external grid points, the Newton interpolation technique is employed instead of the traditional Lagrange interpolation operator, and the condition number of the discretized matrix different equations is taken into account of the choice of the external grid points. Using the new numerical scheme, the time complexity of the sparse grid method for the image denoising is decreased to O(4J+2j) from O(43J), (j≪J). The experiment results show that the dynamic choice scheme of the external gird points can eliminate the boundary effect effectively and the efficiency can also be improved greatly comparing with the classical interval wavelets numerical methods.
format Article
id doaj-art-be384b8799aa4f69b29c358f81d556ba
institution Kabale University
issn 2356-6140
1537-744X
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-be384b8799aa4f69b29c358f81d556ba2025-02-03T01:12:38ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/417486417486HPM-Based Dynamic Sparse Grid Approach for Perona-Malik EquationShu-Li Mei0De-Hai Zhu1College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, ChinaKey Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, Beijing 100083, ChinaThe Perona-Malik equation is a famous image edge-preserved denoising model, which is represented as a nonlinear 2-dimension partial differential equation. Based on the homotopy perturbation method (HPM) and the multiscale interpolation theory, a dynamic sparse grid method for Perona-Malik was constructed in this paper. Compared with the traditional multiscale numerical techniques, the proposed method is independent of the basis function. In this method, a dynamic choice scheme of external grid points is proposed to eliminate the artifacts introduced by the partitioning technique. In order to decrease the calculation amount introduced by the change of the external grid points, the Newton interpolation technique is employed instead of the traditional Lagrange interpolation operator, and the condition number of the discretized matrix different equations is taken into account of the choice of the external grid points. Using the new numerical scheme, the time complexity of the sparse grid method for the image denoising is decreased to O(4J+2j) from O(43J), (j≪J). The experiment results show that the dynamic choice scheme of the external gird points can eliminate the boundary effect effectively and the efficiency can also be improved greatly comparing with the classical interval wavelets numerical methods.http://dx.doi.org/10.1155/2014/417486
spellingShingle Shu-Li Mei
De-Hai Zhu
HPM-Based Dynamic Sparse Grid Approach for Perona-Malik Equation
The Scientific World Journal
title HPM-Based Dynamic Sparse Grid Approach for Perona-Malik Equation
title_full HPM-Based Dynamic Sparse Grid Approach for Perona-Malik Equation
title_fullStr HPM-Based Dynamic Sparse Grid Approach for Perona-Malik Equation
title_full_unstemmed HPM-Based Dynamic Sparse Grid Approach for Perona-Malik Equation
title_short HPM-Based Dynamic Sparse Grid Approach for Perona-Malik Equation
title_sort hpm based dynamic sparse grid approach for perona malik equation
url http://dx.doi.org/10.1155/2014/417486
work_keys_str_mv AT shulimei hpmbaseddynamicsparsegridapproachforperonamalikequation
AT dehaizhu hpmbaseddynamicsparsegridapproachforperonamalikequation