Abstract
Discontinuities present serious difficulties to standard regularization, since standard regularization theory imposes global smoothness constraints on possible solution. We propose a noise-adaptive edge-preserving image restoration algorithm based on the Markov random field image model. Our potential function is controlled by the weighting function for providing the capability of adaptively introducing the discontinuities into the solution. Moreover a new parameter is adopted to prevent the undesirable amplification of strong noise. Extending our previous work, we propose a nonlinear formulation of the regularization functional and derive an iterative algorithm for ensuring the global minimum. The effectiveness of the proposed algorithm is demonstrated experimentally.
| Original language | English |
|---|---|
| Title of host publication | IEEE Region 10 Annual International Conference, Proceedings/TENCON |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 726-729 |
| Number of pages | 4 |
| ISBN (Electronic) | 0780357396, 9780780357396 |
| DOIs | |
| Publication status | Published - 1999 |
| Event | 1999 IEEE Region 10 Conference, TENCON 1999 - Cheju Island, Korea, Republic of Duration: 1999 Sept 15 → 1999 Sept 17 |
Publication series
| Name | IEEE Region 10 Annual International Conference, Proceedings/TENCON |
|---|---|
| Volume | 1 |
| ISSN (Print) | 2159-3442 |
| ISSN (Electronic) | 2159-3450 |
Other
| Other | 1999 IEEE Region 10 Conference, TENCON 1999 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Cheju Island |
| Period | 99/9/15 → 99/9/17 |
Bibliographical note
Publisher Copyright:© 1999 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering