Abstract
Traditional filtering methods operate on the entire signal or image. In some applications, however, errors are concentrated in specific regions or features. A prime example is images generated using computed tomography. Practical implementations limit the amount of high frequency content in the reconstructed image, and consequently, edges are blurred. We introduce a new post-reconstruction edge enhancement algorithm, based on the reassignment principle and wavelets, that localizes its sharpening exclusively to edge features. Our method enhances edges without disturbing the low frequency textural details.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Publisher | Society of Photo-Optical Instrumentation Engineers |
| Pages | 218-227 |
| Number of pages | 10 |
| Volume | 4121 |
| State | Published - 2000 |
| Event | Mathematical Modeling, Estimation, and Imaging - San Diego, USA Duration: Jul 31 2000 → Aug 1 2000 |
Other
| Other | Mathematical Modeling, Estimation, and Imaging |
|---|---|
| City | San Diego, USA |
| Period | 7/31/00 → 8/1/00 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics
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