센서학회지 (Journal of Sensor Science and Technology)

  • 제29권2호
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  • Pages.133-140
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  • 2020
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  • 1225-5475(pISSN)
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  • 2093-7563(eISSN)
한국센서학회 (The Korean Sensors Society)
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라플라시안 피라미드와 주성분 분석을 이용한 가시광과 적외선 영상 합성

Visible and NIR Image Synthesis Using Laplacian Pyramid and Principal Component Analysis

  • 손동민 (경북대학교 전자공학부) ;
  • 권혁주 (경북대학교 전자공학부) ;
  • 이성학 (경북대학교 전자공학부)
  • Son, Dong-Min (School of Electronics Engineering, Kyungpook National University) ;
  • Kwon, Hyuk-Ju (School of Electronics Engineering, Kyungpook National University) ;
  • Lee, Sung-Hak (School of Electronics Engineering, Kyungpook National University)
  • 투고 : 2020.03.25
  • 심사 : 2020.03.31
  • 발행 : 2020.03.31
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초록

This study proposes a method of blending visible and near infrared images to enhance edge details and local contrast. The proposed method consists of radiance map generation and color compensation. The radiance map is produced by a Laplacian pyramid and a soft mixing method based on principal component analysis. The color compensation method uses the ratio between the composed radiance map and the luminance channel of a visible image to preserve the visible image chrominance. The proposed method has better edge details compared to a conventional visible and NIR image blending method.

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참고문헌

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