Iran University of Science and Technology
Electrical Engineering Department
Defense for Degree of Master of Science in Electronic
| 269 |
Using Partial Differential Equations (PDEs) FOR Image Denoising |
Abstract: In this article, a new method is presented for the elimination noise from images, which makes use of the anisotropic diffusion equations and the wavelet transformation. In the existing methods for image noise elimination that are based on the wavelet threshold marking, the existing approximate coefficients in the wavelet transformation, which contain the overall information of the image, are not affected by threshold demarcation. Therefore, the final image (obtained after the noise elimination) will have a limited improvement. Since noise affects both the detail and approximate coefficients of the image, we apply the noise elimination technique based on the anisotropic diffusion equations, on the image's approximate coefficients in order to alleviate the problem associated with the wavelet-based noise elimination methods. By using the anisotropic diffusion equations, the existing noise data in this sub-band will also be preserved. |
STUDENT: AbbasAli kazemian Supervisor: Dr.Ahmad Ayatollahi |
Defence date:27/11/89 time:16:00 |