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Computational Spectral Imaging Based on Adaptive Spectral Imaging

  • Francisco H. Imai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7786)

Abstract

This paper presents a new paradigm on adaptive spectral imaging to address practical spectral imaging issues such as robustness of spectral estimation transform, dependency on training sample set and impact of non-uniform illumination on estimation accuracy. Computational spectral imaging using reconfigurable imaging sensors with tunable spectral sensitivities is introduced as a possible powerful approach to address these practical spectral reconstruction issues. As an example of effectiveness of reconfigurable imaging sensor embodiment, experiments and results previously presented at the IS&T/SID 19th Color and Imaging Conference is reviewed mentioning potential applications and implementations of proposed computational spectral imaging.

Keywords

Spectral imaging adaptive imaging tunable imaging sensors machine learning SVM 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Francisco H. Imai
    • 1
  1. 1.Innovation CenterCanon U.S.A. Inc.San JoseUSA

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