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Proceedings Paper

Spectral analysis of omnidirectional color signals in natural scenes
Author(s): Shoji Tominaga; Daiki Watanabe; Keita Hirai; Takahiko Horiuchi
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Paper Abstract

We describe an analysis method of the omnidirectional color signals in natural scenes. A multiband imaging system with six spectral channels is used for capturing high resolution images in the omnidirectional observations at three locations on campus. The spectral distributions of color signals are recovered using the Wiener estimator from the captured six-band images. The spectral compositions of omnidirectional color signals are investigated based on the PCA of each set of color signals acquired at three locations in different seasons and different times of the day. Three principal components are extracted from three sets of omnidirectional images observed in three different locations. The respective three principal component curves are invariant under seasonal and temporal changes. Moreover, we determine the unified principal components of color signals across all locations. High data compression of omnidirectional images can be achieved. The reliability of the proposed analysis method is confirmed using various experimental data.

Paper Details

Date Published: 3 February 2014
PDF: 8 pages
Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 901503 (3 February 2014); doi: 10.1117/12.2039592
Show Author Affiliations
Shoji Tominaga, Chiba Univ. (Japan)
Daiki Watanabe, Chiba Univ. (Japan)
Keita Hirai, Chiba Univ. (Japan)
Takahiko Horiuchi, Chiba Univ. (Japan)

Published in SPIE Proceedings Vol. 9015:
Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Alessandro Rizzi, Editor(s)

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