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) |
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Title of host publication | 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings |
Volume | 1 |
DOIs | |
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 |
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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)