라플라시안 피라미드와 주성분 분석을 이용한 가시광과 적외선 영상 합성 = Visible and NIR Image Synthesis Using Laplacian Pyramid and Principal Component Analysis

다국어 초록 (Multilingual Abstract)

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.

참고문헌 (Reference)

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