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Spectral recovery from natural scenes with an RGB digital camera

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Multispectral images of natural scenes have been used to obtain a recovery matrix that transforms directly R, G, B values to spectral radiance without using linear models for spectral reflectances and illuminants. The R, G, B are simulated digital counts from a standard CCD camera. This recovery method had not been tested in natural scenes with uncontrolled illumination and for spectral radiance. We have used three different test data sets to check the method's accuracy, and three different quality measures to test the similarity between recovered and original spectral radiances (Goodnes-of-Fit, Root-Mean-Square-Error and ΔE*ab colour difference). With this simple colorimetric system it was found that natural spectra could be recovered with a quality that is adequate for many applications.
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Document Type: Research Article

Publication date: January 1, 2006

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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