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Optimization of a Multispectral Imaging System

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We have previously presented work using a simple computational model of a multispectral imaging system which we have used to investigate the effect of various parameters (such as the number and properties of the colour channels) on the accuracy of spectral estimation. It was shown that the parameters of a multispectral imaging system interact with each other in a complex way and therefore the optimum set of parameters cannot easily be determined. This paper concerns the development of an optimization technique (based upon simulated annealing) to allow the parameter space of the imaging system to be searched to find the system parameters that give the lowest reconstruction error. Initial results from the optimization analysis show that the optimum spectral properties of the colour channels depend both upon the illuminant under which the image is captured and the goal of the spectral reconstruction process.
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Document Type: Research Article

Publication date: January 1, 2002

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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