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Noise reduction with complex bilateral filter.

Mitsuharu Matsumoto¹

¹Department of Informatics, University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, 182-8585, Japan.

The Journal of the Acoustical Society of America

|January 1, 2018

Summary

This study presents an advanced complex bilateral filter for noise reduction in acoustical signals. The improved filter effectively reduces high-amplitude noise in the time-frequency domain while preserving speech signals.

Area of Science:

Signal Processing
Acoustics
Image Processing

Background:

Bilateral filters are effective nonlinear filters for noise reduction in images, preserving edge information.
Traditional bilateral filters can reduce small-amplitude noise in acoustical signals but struggle with high-amplitude noise.
Existing noise reduction techniques may not adequately preserve signal integrity when dealing with complex noise patterns.

Purpose of the Study:

To introduce a novel noise reduction technique using a complex bilateral filter adapted for acoustical signals.
To enhance the capability of bilateral filters to handle high-amplitude noise in the time-frequency domain.
To validate the effectiveness and potential of the proposed complex bilateral filter through experimental analysis.

Main Methods:

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The noisy acoustical signal is transformed into the time-frequency domain.
A complex bilateral filter is developed and applied in the time-frequency domain to process complex spectra.
The improved filter is designed to specifically target and reduce high-amplitude noise components.

Main Results:

The proposed complex bilateral filter successfully reduces high-amplitude noise in acoustical signals.
Speech signal components are preserved during the noise reduction process.
Experimental results demonstrate the effectiveness and advantages of the enhanced filter over traditional methods.

Conclusions:

The complex bilateral filter offers a significant advancement in noise reduction for acoustical signals.
The time-frequency domain adaptation allows for effective handling of challenging noise conditions.
This technique holds promise for various applications requiring high-fidelity audio signal processing.