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Recovering Spectral Sensitivities with Uncertainty

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It is well established that in order to obtain the best colour performance of a colour input device such as a scanner or a camera, that one needs to know the device spectral sensitivities. Unfortunately measuring sensitivities outside the laboratory is hard and moreover, manufacturers are reluctant to give the user specifications. Thus, there has been considerable interest in developing numerical techniques for estimating the spectral sensitivities.

These methods are based on taking images of known spectral targets and then, using knowledge of the image formation process, solving for the sensitivities using numerical methods. It is important to state that while these methods perform reasonably well, the problem is inherently ill-posed. There is simply not enough degrees of freedom in the spectral profile of a reflectance target to recover device sensitivities.

In this paper we tackle this uncertainty head on and develop a method to recover device sensitivities with uncertainty error bars. Experiments with a Megavision camera return a sensor estimate together with error bars. The error bars are sufficient to explain the discrepancy in the recoveries delivered by single-answer estimation algorithms and the actual sensitivities.
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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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