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Improvement of Camera Characterization Process for Different Capturing Geometries Using Saunderson Surface Correction

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The linearization of camera signals and spectral data is a significant step in the color characterization of image capturing systems. Even though output signals from camera detector usually have a reasonable linear relationship with incident spectral radiance, several factors might lead to slight deviations from perfect linearity. Differences in capturing geometries can be a source of non-linearity between these two quantities. In this research, a surface correction equation is introduced to compensate for differences between the camera signals and reflectance measurement with the aim of improving linearity. We utilized the Saunderson surface correction to account for boundary reflections based on measurement geometries. To investigate the idea, three experimental phases were set up. In the first experiment, the reflectance data from two different spectrophotometers were compared with those from a spectroradiometer in two dissimilar lighting conditions. According to the results, the Saunderson equation is capable of improving the measured reflectances from spectrophotometers to be fit to the actual spectral radiances from the spectroradiometer independent of capturing and lighting geometry. In the second phase of the experiment, a digital still camera was characterized using the measured and surface-corrected spectral reflectances. Finally, in the third phase of the experiment, a ColorChecker SG was imaged and used as independent verification data. According to the results, the surface correction improved the linear correlation of spectral reflectances and camera signals for all geometries and spectral data.
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Document Type: Research Article

Publication date: January 1, 2012

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  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    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 paper for details.

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