Well-Posed Inhomogeneous Nonlinear Diffusion Scheme for Digital Image Denoising

We study an inhomogeneous partial differential equation which includes a separate edge detection part to control smoothing in and around possible discontinuities, under the framework of anisotropic diffusion. By incorporating edges found at multiple scales via an adaptive edge detector-based indicat...

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Main Authors: V. B. Surya Prasath, Arindama Singh
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2010/763847
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author V. B. Surya Prasath
Arindama Singh
author_facet V. B. Surya Prasath
Arindama Singh
author_sort V. B. Surya Prasath
collection DOAJ
description We study an inhomogeneous partial differential equation which includes a separate edge detection part to control smoothing in and around possible discontinuities, under the framework of anisotropic diffusion. By incorporating edges found at multiple scales via an adaptive edge detector-based indicator function, the proposed scheme removes noise while respecting salient boundaries. We create a smooth transition region around probable edges found and reduce the diffusion rate near it by a gradient-based diffusion coefficient. In contrast to the previous anisotropic diffusion schemes, we prove the well-posedness of our scheme in the space of bounded variation. The proposed scheme is general in the sense that it can be used with any of the existing diffusion equations. Numerical simulations on noisy images show the advantages of our scheme when compared to other related schemes.
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spelling doaj-art-c38b95814f684f8f8f8bc25b4118f9972025-02-03T00:59:20ZengWileyJournal of Applied Mathematics1110-757X1687-00422010-01-01201010.1155/2010/763847763847Well-Posed Inhomogeneous Nonlinear Diffusion Scheme for Digital Image DenoisingV. B. Surya Prasath0Arindama Singh1Department of Mathematics, Indian Institute of Technology Madras, Chennai 600036, IndiaDepartment of Mathematics, Indian Institute of Technology Madras, Chennai 600036, IndiaWe study an inhomogeneous partial differential equation which includes a separate edge detection part to control smoothing in and around possible discontinuities, under the framework of anisotropic diffusion. By incorporating edges found at multiple scales via an adaptive edge detector-based indicator function, the proposed scheme removes noise while respecting salient boundaries. We create a smooth transition region around probable edges found and reduce the diffusion rate near it by a gradient-based diffusion coefficient. In contrast to the previous anisotropic diffusion schemes, we prove the well-posedness of our scheme in the space of bounded variation. The proposed scheme is general in the sense that it can be used with any of the existing diffusion equations. Numerical simulations on noisy images show the advantages of our scheme when compared to other related schemes.http://dx.doi.org/10.1155/2010/763847
spellingShingle V. B. Surya Prasath
Arindama Singh
Well-Posed Inhomogeneous Nonlinear Diffusion Scheme for Digital Image Denoising
Journal of Applied Mathematics
title Well-Posed Inhomogeneous Nonlinear Diffusion Scheme for Digital Image Denoising
title_full Well-Posed Inhomogeneous Nonlinear Diffusion Scheme for Digital Image Denoising
title_fullStr Well-Posed Inhomogeneous Nonlinear Diffusion Scheme for Digital Image Denoising
title_full_unstemmed Well-Posed Inhomogeneous Nonlinear Diffusion Scheme for Digital Image Denoising
title_short Well-Posed Inhomogeneous Nonlinear Diffusion Scheme for Digital Image Denoising
title_sort well posed inhomogeneous nonlinear diffusion scheme for digital image denoising
url http://dx.doi.org/10.1155/2010/763847
work_keys_str_mv AT vbsuryaprasath wellposedinhomogeneousnonlineardiffusionschemefordigitalimagedenoising
AT arindamasingh wellposedinhomogeneousnonlineardiffusionschemefordigitalimagedenoising