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Independent Component Analysis With Different Daylight Illuminants

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Independent Component Analysis (ICA) has been developed as an efficient method to linearly transform input data to derive statistically independent components, and it has been recently used to derive the independent components of natural scenes. In this work, we study the influence of illuminant in the ICA results using as input sets of the same hyperspectral images under different daylight Spectral Power Distributions. Once the ICA bases were derived for each illuminant condition, we analysed the differences between them, and the reconstruction of color images with different bases and different number of basis functions. The results indicate that there are consistent differences between the bases corresponding to high and low solar elevations. The differences between atmospheric conditions are small for a given solar elevation. In the reconstruction results, the differences between original and reconstructed images with different ICA bases are more evident for the first 11 basis functions. With 61 basis functions, the results are rather similar for all the bases. We consider these results as a first step towards constructing an illuminant-invariant set of basis functions for color image representation.
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Document Type: Research Article

Publication date: January 1, 2004

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  • 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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