전자공학회논문지 (Journal of the Institute of Electronics and Information Engineers)

  • 제53권12호
  • /
  • Pages.105-110
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  • 2016
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  • 2287-5026(pISSN)
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  • 2288-159X(eISSN)
대한전자공학회 (The Institute of Electronics and Information Engineers)
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에일리어싱 영역 검출을 통한 컬러 영상 복원

Color Image Restoration in Detected Aliasing Region

  • 권지용 (연세대학교 전기전자공학과) ;
  • 강문기 (연세대학교 전기전자공학과)
  • Kwon, Ji Yong (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Kang, Moon Gi (Department of Electrical and Electronic Engineering, Yonsei University)
  • 투고 : 2016.08.24
  • 심사 : 2016.11.13
  • 발행 : 2016.12.25
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초록

디지털 카메라의 생산 비용을 낮추며 작게 만들기 위하여 부표본화된 컬러 필터 배열 영상이 사용되고, 이러한 컬러 필터 배열 영상에 비어 있는 컬러 값을 추정하는 컬러 보간 과정이 수행된다. 그러나 신호들이 부표본화 되면서 주파수 영역에서 보았을 때, 신호가 겹치는 에일리어싱이 발생한다. 이 문제가 컬러 보간 과정에서 제대로 해결되지 못하면 가색상과 지퍼 현상과 같은 에일리어싱 아티팩트가 발생한다. 본 논문에서는, 컬러 영상에 존재하는 에일리어싱 아티팩트를 제거하는 알고리즘을 제안한다. 컬러 필터 배열 영상의 부표본화된 신호들을 사용하여 에일리어싱 영역 지도를 추정한다. 에일리어싱 영역 지도와 추정된 휘도 영상을 이용하여, 영상 획득 모델의 최소 자승 추정 방법으로 에일리어싱 아티팩트를 제거하여 고해상도의 컬러영상을 추정하도록 하였다. 실험에서는 제안하는 알고리즘이 컬러 영상에 존재하는 에일리어싱 아티팩트를 효과적으로 제거한 것을 보여준다.

To reduce the cost and volume of a digital camera, a subsampled color filter array(CFA) image is used and demosaicking is applied to estimate the missing color values. However, aliasing, the overlaps of signals in the frequency domain, occurs when signals are subsampled. This causes aliasing artifacts such as false colors and zipper effects in demosaicking processes. In this paper, the algorithm estimating high-quality color images by removing aliasing artifacts in them is proposed. The aliasing region map is estimated using the sub-sampled signals of the CFA image. By using the aliasing region map and the estimated luminance image, the least squares problem of the observation models is designed and aliasing artifacts are eliminated. The experiments demonstrate that the proposed algorithm restores color images without aliasing artifacts.

키워드

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