Abstract
In this paper, we propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a wide class of filters and to assess the merits of each. We derive an automatic procedure to optimally tune a filter to the local structure of the image under consideration. The entire algorithm is fully automatic and requires no parameter specification from the user. Several simulations demonstrate the efficacy of the proposed algorithm.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation |
| Editors | Anon |
| Place of Publication | Piscataway, NJ, United States |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 224-229 |
| Number of pages | 6 |
| State | Published - Jan 1 1996 |
| Event | Proceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation - San Antonio, TX, USA Duration: Apr 8 1996 → Apr 9 1996 |
Other
| Other | Proceedings of the 1996 IEEE Southwest Symposium on Image Analysis and Interpretation |
|---|---|
| City | San Antonio, TX, USA |
| Period | 4/8/96 → 4/9/96 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
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