3 February 2014 Spectral analysis of omnidirectional color signals in natural scenes
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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.
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Shoji Tominaga, Shoji Tominaga, Daiki Watanabe, Daiki Watanabe, Keita Hirai, Keita Hirai, Takahiko Horiuchi, Takahiko Horiuchi, } "Spectral analysis of omnidirectional color signals in natural scenes", Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 901503 (3 February 2014); doi: 10.1117/12.2039592; https://doi.org/10.1117/12.2039592
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