Spectral Amplitude Estimation-Based X-Ray Image Restoration: An Extension of a Speech Enhancement Approach

Til Aach, Dietmar Kunz

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.

OriginalspracheEnglisch
Titel9th European Signal Processing Conference (EUSIPCO 1998)
Seitenumfang4
Herausgeber (Verlag)IEEE
Erscheinungsdatum01.01.1998
Seiten1-4
ISBN (Print)978-960-7620-06-4
PublikationsstatusVeröffentlicht - 01.01.1998
Veranstaltung9th European Signal Processing Conference - Island of Rhodes, Griechenland
Dauer: 08.09.199811.09.1998

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