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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aach, T. Kunz, D. |
| Copyright Year | 1997 |
| Description | Author affiliation: Philips GmbH Forschungslab., Aachen, Germany (Aach, T.) |
| Abstract | This contribution describes a new filtering technique for the reduction of noise in medical X-ray images acquired with very low doses, like fluoroscopy images. In such images, only between 10 and 200 X-ray quanta contribute to each pixel. The resulting Poisson statistic causes a strong deterioration of image quality by quantum noise, which, in the observed images, is signal-dependent and exhibits a lowpass-shaped power spectrum. The central part of our approach is a linear/median hybrid filter, which is well-known for its good detail preservation properties. Noise reduction by this filter, however, depends on the presence or absence of underlying signal slopes, and is limited to a small range of spatial frequencies. Also, like median filters this filter tends to generate streaking artifacts. We show how a combination of linear/median hybrid filtering with a multiscale pyramid avoids these shortcomings, while simultaneously improving noise reduction performance substantially. |
| Starting Page | 358 |
| Ending Page | 361 |
| File Size | 684650 |
| Page Count | 4 |
| File Format | |
| ISBN | 0818681837 |
| DOI | 10.1109/ICIP.1997.638774 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-10-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Nonlinear filters Noise reduction Filtering X-ray imaging Biomedical imaging Pixel Statistics Image quality Frequency |
| Content Type | Text |
| Resource Type | Article |
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