PDE based Diffusion Filters for Image Denoising

The main purpose of reducing noise is to enhance the quality of an image and to provide efficient information that are too minute. So, the main focus is on methods utilizing partial differential equations for removing the noise from the image. This paper focuses on utilizing diffusion equations, bot...

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Bibliographic Details
Published in2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) pp. 1 - 6
Main Authors Yamini, R, Jeyalakshmi, R Ratha, Sowmini, R
Format Conference Proceeding
LanguageEnglish
Published IEEE 08.02.2023
Subjects
edge enhancing and filter
Image edge detection
Linear diffusion
Maximum likelihood detection
Neural networks
Noise reduction
Nonlinear filters
Partial differential equations
Perona malik model
Tomography
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Summary:The main purpose of reducing noise is to enhance the quality of an image and to provide efficient information that are too minute. So, the main focus is on methods utilizing partial differential equations for removing the noise from the image. This paper focuses on utilizing diffusion equations, both isotropic and anisotropic diffusion, to reduce the noise level of the image. Specifically, we study the effectiveness of linear and nonlinear diffusion filters. Here we mainly discuss about following three models: Linear diffusion model and its limitations; Perona Malik model and its limitations; Edge Enhancing diffusion model (EED) and its limitations.
DOI:10.1109/OTCON56053.2023.10114016