Paper
3 February 2014 Spectral analysis of omnidirectional color signals in natural scenes
Author Affiliations +
Proceedings Volume 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications; 901503 (2014) https://doi.org/10.1117/12.2039592
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shoji Tominaga, Daiki Watanabe, Keita Hirai, and 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); https://doi.org/10.1117/12.2039592
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KEYWORDS
Imaging systems

Cameras

Principal component analysis

Light sources

Data compression

Interference (communication)

Optical filters

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