Hybrid-resolution multispectral imaging using color filter array
Author(s) -
Yuri Murakami,
Masahiro Yamaguchi,
Nagaaki Ohyama
Publication year - 2012
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.20.007173
Subject(s) - multispectral image , rgb color model , image resolution , weighting , multispectral pattern recognition , computer science , computer vision , optics , artificial intelligence , filter (signal processing) , spectral imaging , remote sensing , physics , geology , acoustics
Hybrid-resolution multispectral imaging is a framework to acquire multispectral images through a reconstruction procedure using two types of measurement data with different spatial and spectral resolutions. In this paper, we propose a new method for such a framework on the basis of a full-resolution RGB image and the data obtained from an image sensor with a multispectral filter array (MSFA). In the proposed method, a small region of each image band is reconstructed as a linear combination of RGB images, where the weighting coefficients are determined using MSFA data. The effectiveness of the proposed approach is shown by simulations using spectral images of natural scenes.
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