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

한국통신학회 (The Korean Institute of Commucations and Information Sciences)
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특이값 분해와 영상 피라미드를 이용한 대비 향상 알고리듬

Contrast Enhancement Algorithm Using Singular Value Decomposition and Image Pyramid

  • 하창우 (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실) ;
  • 최창렬 (한양대학교 융합IT기반 미래가치 창조 인재양성 사업단) ;
  • 정제창 (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리 연구실)
  • 투고 : 2013.09.02
  • 심사 : 2013.10.16
  • 발행 : 2013.11.30
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초록

본 논문은 특이값 분해와 영상 피라미드를 이용한 새로운 대비 개선 방법을 제안한다. 제안된 방법은 다음과 같이 네 단계로 진행 된다. 먼저 전역 명암대비와 지역적 디테일을 향상시키기 위해 영상 피라미드를 이용하여 영상을 기저영상과 세부영상들로 분해한다. 전역 명암대비 향상은 특이값 분해를 이용하여 영상 전체의 명암대비를 향상시키고, 지역적 디테일 향상은 가중치를 이용하여 개선시킨다. 영상 합성은 영상의 컬러 일관성을 유지하기 위해 컬러와 명암성분들을 결합한다. 실험 결과를 통해 제안된 방법은 기존의 방법들보다 영상의 세부 정보를 강화하면서 전체적인 명암대비 개선을 보인다.

This paper presents a novel contrast enhancement method based on singular value decomposition and image pyramid. The proposed method consists mainly of four steps. The proposed algorithm firstly decomposes image into band-pass images, including basis image and detail images, to improve both the global contrast and the local detail. In the global contrast process, singular value decomposition is used for contrast enhancement; the local detail scheme uses weighting factors. In the final image composition process, the proposed algorithm combines color and luminance components in order to preserve the color consistency. Experimental results show that the proposed algorithm improves contrast performance and enhances detail compared to conventional methods.

키워드

참고문헌

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