Reconstructing with moments
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
The relatively old problem of image reconstruction from a finite set of its geometric moments (inverse moment problem) is examined. The application of the information-theoretic method of Maximum Entropy (ME) is proposed and compared to the Legendre Moments (LM) approach. Several computer simulations are presented that demonstrate the superiority of the proposed technique. Tire comparative study is extended to include the case of noise-corrupted images.
| Original language | English |
|---|---|
| Title of host publication | Proceedings, IAPR 1992 - 11th IAPR International Conference on Pattern Recognition |
| Subtitle of host publication | Conference C: Image, Speech, and Signal Analysis |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 476-480 |
| Number of pages | 5 |
| Volume | 3 |
| ISBN (Print) | 0818629207 |
| DOIs | |
| Publication status | Published - 1992 |
| Event | 11th IAPR International Conference on Pattern Recognition - The Hague, Netherlands Duration: 30 Aug 1992 → 1 Sep 1992 |
Publication series
| Name | Proceedings - International Conference on Pattern Recognition |
|---|---|
| Volume | 3 |
| ISSN (Print) | 1051-4651 |
Conference
| Conference | 11th IAPR International Conference on Pattern Recognition |
|---|---|
| Abbreviated title | IAPR 1992 |
| Country | Netherlands |
| City | The Hague |
| Period | 30/08/92 → 1/09/92 |
Links
Related information
ID: 17036227
