한국항공우주학회지 (Journal of the Korean Society for Aeronautical & Space Sciences)

  • 제44권5호
  • /
  • Pages.407-415
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  • 2016
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  • 1225-1348(pISSN)
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  • 2287-6871(eISSN)
한국항공우주학회 (The Korean Society for Aeronautical and Space Sciences)
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항공 영상 융합의 성능 향상을 위한 적응 가이디드 필터

An Adaptive Guided Filter for Performance Improvement of Aviation Image Fusion

  • Kim, Sun Young (Department of Mechanical and Aerospace Engineering / Automation and Systems Research Institute, Seoul National University) ;
  • Kang, Chang Ho (Department of Mechanical and Aerospace Engineering / Automation and Systems Research Institute, Seoul National University) ;
  • Park, Chan Gook (Department of Mechanical and Aerospace Engineering / Automation and Systems Research Institute, Seoul National University)
  • 투고 : 2015.07.17
  • 심사 : 2016.04.14
  • 발행 : 2016.05.01
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초록

본 논문에서는 최적의 항공 영상 융합을 위하여 적응 가이디드 필터 기반 알고리즘을 제안하였다. 제안한 적응 가이디드 필터는 가이디드 필터 설계 요소 중에서 정규화 파라미터 값을 입력된 영상 특성에 따라서 조절하고 PSNR (peak signal to noise ratio)을 미리 정해둔 값으로 유지한다. 제안한 방법은 입력 영상의 특성에 관계없이 미리 정한 PSNR을 유지하는 범위 내에서 잡음을 제거하므로 최적의 영상 융합 성능의 결과를 가져올 수 있다. 필터 성능은 시뮬레이션을 통해 검증하였고, 기존에 많이 사용되고 있는 영상융합 품질 파라미터를 이용하여 분석하였다.

In this paper, an aviation image fusion method is proposed for creating an informative fused image through gray scale images within noise. The proposed method is based on an adaptive guided filter which adjusts regulation parameter of the filter based on peak signal noise ratio (PSNR) in order to behave as an edge-preserving filtering property. Simulation results demonstrate that the proposed method preserves the edge information of the input image and reduces the noise effect while maintaining designed PSNR.

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참고문헌

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