Abstract
This paper describes a class of spectral amplitude estimation-based algorithms for the restoration of low close X-ray images. Since estimation of spectral amplitude from noisy observations is a widely reported approach to restore noisy speech signals, we discuss our algorithms from the viewpoint of extending a well established speech processing technique to images. We include an analysis of residual noise. Moreover, we provide qualitative and quantitative processing results.
| Original language | English |
|---|---|
| Title of host publication | 9th European Signal Processing Conference (EUSIPCO 1998) |
| Number of pages | 4 |
| Publisher | IEEE |
| Publication date | 01.01.1998 |
| Pages | 1-4 |
| ISBN (Print) | 978-960-7620-06-4 |
| Publication status | Published - 01.01.1998 |
| Event | 9th European Signal Processing Conference - Island of Rhodes, Greece Duration: 08.09.1998 → 11.09.1998 |
