Abstract
The use of partial differential equations in image processing and computer vision has increased dramatically in recent years. The paper address to image denoising. A new model is introduced by extending αβω (ABO)-model in order to get high fidelity of the denoised images. To solve the model efficiently and reliably, we suggest a simple and symmetrical difference schemes and incorporate them with the essentially nondissipative difference (ENoD) schemes. We remove the impulse and Gaussian noises from different images and compare the PSNR values of the results with traditional filters. Numerical experimental results have shown the new model's effectiveness in restoring images, especially in edge preservation and enhancement.
Original language | English |
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Title of host publication | 2006 International Conference on Computational Intelligence and Security, CIS 2006 |
Publisher | IEEE Computer Society |
Pages | 1779-1784 |
Number of pages | 6 |
Volume | 2 |
ISBN (Electronic) | 1424406056 |
ISBN (Print) | 1424406048, 9781424406050 |
DOIs | |
Publication status | Published - 3 Nov 2006 |
Event | 2006 International Conference on Computational Intelligence and Security, CIS 2006 - Guangzhou, China Duration: 3 Nov 2006 → 6 Nov 2006 https://ieeexplore.ieee.org/xpl/conhome/4072023/proceeding https://link.springer.com/book/10.1007/978-3-540-74377-4 |
Publication series
Name | International Conference on Computational Intelligence and Security, CIS |
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Conference
Conference | 2006 International Conference on Computational Intelligence and Security, CIS 2006 |
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Country/Territory | China |
City | Guangzhou |
Period | 3/11/06 → 6/11/06 |
Internet address |
Scopus Subject Areas
- General Computer Science
- Control and Systems Engineering