The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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An Adaptive Noise Removal Method Using Local Statistics and Generalized Gaussian Filter

국부 통계 특성 및 일반화된 Gaussian 필터를 이용한 적응 노이즈 제거 방식

  • 송원선 (숭실대학교 정보통신전자공학부) ;
  • 응웬뚜안안 (숭실대학교 정보통신전자공학부) ;
  • 홍민철 (숭실대학교 정보통신전자공학부)
  • Published : 2010.01.31
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Abstract

In this paper, we present an adaptive noise removal method using local statistics and generalized Gaussian filter. we propose a generalized Gaussian filter for removing noise effectively and detecting noise adaptively using local statistics based human visual system. The simulation results show the objective and subjective capabilities of the proposed algorithm.

본 논문에서는 국부 통계 및 일반화된 Gaussian 필터를 이용한 적응 노이즈 제거 방식으로, 인간 시각 시스템 기반의 국부 통계 특성을 이용하여 적응적으로 노이즈 검출하는 기법과 검출된 노이즈를 효과적으로 제거하기 위한 일반화된 Gaussian 필터 기법에 대해 제안한다. 제안방식의 성능을 기존 방식과 비교하여 객관적, 주관적 성능이 우수함을 확인할 수 있었다.

Keywords

References

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