NMF-Based Spectral Reflectance Estimation From Image Pairs Including Near-Infrared Components

• Published in: IEEE transactions on circuits and systems for video technology Vol. 26; no. 5; pp. 855 - 867
• Main Authors: Ogawa, Takahiro, Igarashi, Yuta, Haseyama, Miki
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Approximation; Approximation methods; Chlorophyll; color correction; Digital cameras; Digital imaging; Electric power distribution; Estimation; green plant detection; Infrared cameras; Infrared filters; Infrared imagery; Inverse problems; Light; Light sources; Mathematical analysis; near-infrared components; non-negative matrix factorization; Power distribution; Reflectance; Sensitivity; Spectra; Spectral reflectance; Spectral reflectance estimation; Spectral sensitivity; nonnegative matrix factorization (NMF); spectral reflectance estimation; near-infrared (NIR) components; Color correction; green plant detection

In this paper, a novel spectral reflectance estimation method from image pairs including near-infrared (NIR) components based on nonnegative matrix factorization (NMF) is presented. The proposed method enables estimation of spectral reflectance from only two kinds of input images: 1) an image includ...