Anomalous Diffusion Paradigm for Image Denoising Process

Senra Filho, Antonio Carlos1*,Murta Junior, Luiz Otávio
1.University of Sao Paulo
Abstract

Abstract

Anisotropic and isotropic diffusion equations have been extensively applied on biomedical image processing for many years and a great diversity of algorithm have been proposed by the scientific community. Here, it is available a recent new implementation of the anomalous diffusion equation, based on the Fokker-Planck PDE diffusion equation (also known as the Porous Media equation). The major contribution of the anomalous process in the image processing area is the possibility to regulates a sub or super-diffusion characteristic in the noise attenuation problem, which have been showed as a suitable solution for the preservation of fine details in complex objects such as the human brain. An ITK Module is offered here in order to easily add the Anisotropic Anomalous Diffusion (AAD) and Isotropic Anomalous Diffusion (IAD) filters in the ITK hierarchy.

Keywords

Anomalous DiffusionNoise filteringAnisotropic Diffusion
Manuscript
Source Code and Data

Source Code and Data

CMakeLists.txt247 BLICENSE11.1 KBREADME.md121 BdocAnomalousFilters.bbl3.8 KBAnomalousFilters.pdf283 KBImgpaper-databrain.png92.1 KBfigure5.png118.3 KBAnomalousFilters.tex28 KBInsightArticle.cls4.1 KBInsightJournal.ist220 BInsightJournal.bib157.6 KBInsightJournal.sty35.2 KBMakefile657 Balgorithm.sty2.2 KBalgorithmic.sty5.4 KBamssymb.sty14.9 KBdoubleWordCheck.pl410 Bfancyhdr.sty14.4 KBfloatflt.sty10.8 KBfncychap.sty10.1 KBtimes.sty857 BincludeitkAnisotropicAnomalousDiffusionImageFilter.h5.8 KBitkAnisotropicAnomalousDiffusionImageFilter.hxx8.2 KBitkIsotropicAnomalousDiffusionImageFilter.h5.3 KBitkIsotropicAnomalousDiffusionImageFilter.hxx7 KBitk-module.cmake558 BtestBaselineimg.png31.5 KBAnomalousDiffusionTest.cxx2.4 KBCMakeLists.txt481 BInputimg1.png31.5 KB

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