An image denoising method based on partial differential equations using B-spline function

Hui Qian Du; Lin Nan Guo; Wen Bo Mei; Yan Fang Ren

An image denoising method based on partial differential equations using B-spline function

Hui Qian Du^*, Lin Nan Guo, Wen Bo Mei, Yan Fang Ren

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

The partial differential equations (PDE) of anisotropic diffusion can be used to suppress the image noises and preserve the edges and detail features of image to some extent, but the denoising effect is still not idea. A new algorithm based on adopting a normalized third order B-spline function as a diffusion one was proposed, which can improve image edge detail besides denoising, decrease iterative order and have an effect on additive and multiplicative noises.

Original language	English
Pages (from-to)	960-964
Number of pages	5
Journal	Binggong Xuebao/Acta Armamentarii
Volume	29
Issue number	8
Publication status	Published - Aug 2008

Keywords

B-spline function
Denoising
Edge preserving
Information processing technique
Partial differential equation

Cite this

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title = "An image denoising method based on partial differential equations using B-spline function",

abstract = "The partial differential equations (PDE) of anisotropic diffusion can be used to suppress the image noises and preserve the edges and detail features of image to some extent, but the denoising effect is still not idea. A new algorithm based on adopting a normalized third order B-spline function as a diffusion one was proposed, which can improve image edge detail besides denoising, decrease iterative order and have an effect on additive and multiplicative noises.",

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AU - Guo, Lin Nan

AU - Mei, Wen Bo

AU - Ren, Yan Fang

PY - 2008/8

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N2 - The partial differential equations (PDE) of anisotropic diffusion can be used to suppress the image noises and preserve the edges and detail features of image to some extent, but the denoising effect is still not idea. A new algorithm based on adopting a normalized third order B-spline function as a diffusion one was proposed, which can improve image edge detail besides denoising, decrease iterative order and have an effect on additive and multiplicative noises.

AB - The partial differential equations (PDE) of anisotropic diffusion can be used to suppress the image noises and preserve the edges and detail features of image to some extent, but the denoising effect is still not idea. A new algorithm based on adopting a normalized third order B-spline function as a diffusion one was proposed, which can improve image edge detail besides denoising, decrease iterative order and have an effect on additive and multiplicative noises.

KW - B-spline function

KW - Denoising

KW - Edge preserving

KW - Information processing technique

KW - Partial differential equation

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ER -

An image denoising method based on partial differential equations using B-spline function

Abstract

Keywords

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