Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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A Study on Noise Reduction Method using Wavelet Approximation Coefficient-based Distribution Characteristics

웨이브렛 근사계수 기반의 분포특성을 이용한 잡음 제거 방법에 관한 연구

  • 배상범 (부경대학교 전기제어공학부) ;
  • 김남호 (부경대학교 전기제어공학부)
  • Received : 2009.08.25
  • Accepted : 2009.11.17
  • Published : 2010.02.27
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Abstract

The degradation phenomenon caused by noises significantly corrupts digitalized data. Therefore, a variety of methods to preserve the edge component of signals and remove noise simultaneously have been used in time domain and frequency domain. In this paper, we have proposed a new noise reduction algorithm using wavelet approximation coefficients to reduce the mixed noise overlapping the signal. The proposed algorithm adopts the distribution characteristics of the error function which is obtained by accumulating the wavelet approximation coefficients, in order to improve the capability to separate edges of the signal and noises.

잡음에 의한 열화현상은 디지털화된 데이터의 인지도를 저하시킨다. 따라서 신호의 에지 성분을 보존함과 동시에 잡음을 제거하기 위한 시간영역과 주파수영역의 다양한 방법들이 사용되고 있다. 본 논문에서는 신호에 중첩된 복합적인 잡음을 감소시키기 위해, 웨이브렛 근사 계수를 이용한 새로운 잡음 제거 알고리즘을 제안하였다. 제안된 알고리즘에서는 신호의 에지와 잡음에 대한 구분 성능을 향상시키기 위해, 웨이브렛 근사계수의 누적으로부터 얻어지는 오차함수의 분포특성을 이용하였다.

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References

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