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.
|Title of host publication||9th European Signal Processing Conference (EUSIPCO 1998)|
|Number of pages||4|
|Publication status||Published - 01.01.1998|
|Event||9th European Signal Processing Conference - Island of Rhodes, Greece|
Duration: 08.09.1998 → 11.09.1998