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

Til Aach; Dietmar Kunz

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

Til Aach, Dietmar Kunz

Institute of Signal Processing

Philips Research Laboratories

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

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

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.",

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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ER -

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

Abstract

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