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http://dx.doi.org/10.5369/JSST.2020.29.2.133

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

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)
Publication Information
Journal of Sensor Science and Technology / v.29, no.2, 2020 , pp. 133-140 More about this Journal
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.
Keywords
Near infrared; Image blending; Image enhance; Laplacian pyramid; Principal component analysis; Soft mixing;
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