A new nonlinear diffusion method to improve image quality

Yue Zhang; Xiaoyin Xu; Hongmin Cai; S. P. Yung; Stephen T. Wong

doi:10.1109/ICIP.2007.4378958

A new nonlinear diffusion method to improve image quality

Yue Zhang, Xiaoyin Xu, Hongmin Cai, S. P. Yung, Stephen T. Wong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

We propose a nonlinear diffusion method based on the gradient vector field construction to remove noises in image while preserving fine details. The bloeky effect and over-smoothing, as usually seen in images processed by diffusion operators, are greatly reduced by our method. Results obtained from various images, including synthetic and magnetic resonance imaging (MRI), are used to demonstrate the performance of our new method. Comparing it with other diffusion methods, we find it obtains better performance in terms of removing noises without destroying detail features of images.

Original language	English (US)
Title of host publication	2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
Volume	1
DOIs	https://doi.org/10.1109/ICIP.2007.4378958
State	Published - Dec 1 2006
Event	14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States Duration: Sep 16 2007 → Sep 19 2007

Other

Other	14th IEEE International Conference on Image Processing, ICIP 2007
Country	United States
City	San Antonio, TX
Period	9/16/07 → 9/19/07

Keywords

Diffusion
Noise removal
PDE

ASJC Scopus subject areas

Engineering(all)

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abstract = "We propose a nonlinear diffusion method based on the gradient vector field construction to remove noises in image while preserving fine details. The bloeky effect and over-smoothing, as usually seen in images processed by diffusion operators, are greatly reduced by our method. Results obtained from various images, including synthetic and magnetic resonance imaging (MRI), are used to demonstrate the performance of our new method. Comparing it with other diffusion methods, we find it obtains better performance in terms of removing noises without destroying detail features of images.",

keywords = "Diffusion, Noise removal, PDE",

author = "Yue Zhang and Xiaoyin Xu and Hongmin Cai and Yung, {S. P.} and Wong, {Stephen T.}",

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AU - Zhang, Yue

AU - Xu, Xiaoyin

AU - Cai, Hongmin

AU - Yung, S. P.

AU - Wong, Stephen T.

PY - 2006/12/1

Y1 - 2006/12/1

N2 - We propose a nonlinear diffusion method based on the gradient vector field construction to remove noises in image while preserving fine details. The bloeky effect and over-smoothing, as usually seen in images processed by diffusion operators, are greatly reduced by our method. Results obtained from various images, including synthetic and magnetic resonance imaging (MRI), are used to demonstrate the performance of our new method. Comparing it with other diffusion methods, we find it obtains better performance in terms of removing noises without destroying detail features of images.

AB - We propose a nonlinear diffusion method based on the gradient vector field construction to remove noises in image while preserving fine details. The bloeky effect and over-smoothing, as usually seen in images processed by diffusion operators, are greatly reduced by our method. Results obtained from various images, including synthetic and magnetic resonance imaging (MRI), are used to demonstrate the performance of our new method. Comparing it with other diffusion methods, we find it obtains better performance in terms of removing noises without destroying detail features of images.

KW - Diffusion

KW - Noise removal

KW - PDE

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VL - 1

BT - 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings

T2 - 14th IEEE International Conference on Image Processing, ICIP 2007

Y2 - 16 September 2007 through 19 September 2007

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