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Adaptive Colorimetric Characterization of Digital Camera with White Balance

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Image Analysis and Recognition (ICIAR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3656))

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Abstract

A camera is an effective tool in capturing images for colorimetric use. However, the RGB signals generated by different cameras are not equal for the same scene. Therefore, cameras are characterized based on a CIE standard colorimetric observer. This paper proposes a new method for obtaining camera transfer matrices under different white balances using a 3×3 camera transfer matrix under a specific white balance point. As such, the proposed methods enables a camera transfer matrix under any other white balance to be obtained using the colorimetric coordinates for the phosphor primaries derived from a 3×3 linear transfer matrix under a certain white balance point. Experimental results confirmed that the proposed method produced a 3×3 linear transfer matrix under any other white balance with a reasonable degree of accuracy compared with the transfer matrix obtained by the conventional method.

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© 2005 Springer-Verlag Berlin Heidelberg

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Jang, SW., Kim, ES., Lee, SH., Sohng, KI. (2005). Adaptive Colorimetric Characterization of Digital Camera with White Balance. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_87

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  • DOI: https://doi.org/10.1007/11559573_87

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29069-8

  • Online ISBN: 978-3-540-31938-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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