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) |
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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 |
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City | San Diego, USA |
Period | 7/31/00 → 8/1/00 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics