27 April 2009 Estimation of low-resolution visible spectra from RGB imagery
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While able to measure the red, green, and blue channels, color imagers are not true spectral imagers capable of spectral measurements. In this paper we present a processing technique for estimating low resolution visible spectra from (RGB) imagery components. Such a methodology will find application in separating reflectivity components from source illumination as performed in Retinex or Linear Models. Numerical processing is discussed and formulated within non-regulated iterative restoration methodology. Numerical stability and convergence are considered relative to speed and accuracy as well as calibration data effects on overall results. Implementation is demonstrated together with several suggestions for real time processing. Imager calibration methodology is presented together with several results. Limitations of the method are discussed as well as directions for further investigations.
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H. C. Schau, H. C. Schau, } "Estimation of low-resolution visible spectra from RGB imagery", Proc. SPIE 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, 733417 (27 April 2009); doi: 10.1117/12.814650; https://doi.org/10.1117/12.814650

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