| Paper: | MA-P3.11 |
| Session: | Image and Video Denoising |
| Time: | Monday, September 17, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
A NEW NONLINEAR DIFFUSION METHOD TO IMPROVE IMAGE QUALITY |
| Authors: |
Yue Zhang; School of Zhuhai, Jinan University | | |
| | Xiaoyin Xu; Brigham and Women's Hospital | | |
| | Hongmin Cai; University of Hong Kong | | |
| | S. P. Yung; University of Hong Kong | | |
| | Stephen T.C. Wong; Brigham and Women's Hospital | | |
| Abstract: |
We propose a new nonlinear diffusion method to remove noise in image while preserving fine details. Based on the gradient vector field construction, the method reduces noise in an image while preserving and enhancing edges at the same time. The blocky effect and oversmoothing, 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 the new method. Comparing the proposed method with other diffusion methods, we find it obtains better performance in terms of removing noise without destroying image details. |
