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Illuminant Change Estimation via Minimization of Color Histogram Divergence

  • Michela Lecca
  • Stefano Messelodi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5646)

Abstract

We present a new method for computing the change of light possibly occurring between two pictures of the same scene. We approximate the illuminant variation with the von Kries diagonal transform and estimate it by minimizing a functional that measures the divergence between the image color histograms. Our approach shows good performances in terms of accuracy of the illuminant change estimation and of robustness to pixel saturation and Gaussian noise. Moreover we illustrate how the method can be applied to solve the problem of illuminant invariant image recognition.

Keywords

Recognition Rate Image Retrieval Color Histogram Color Quantization Saturated Pixel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Michela Lecca
    • 1
  • Stefano Messelodi
    • 1
  1. 1.Fondazione Bruno Kessler, IRST - 38100 PovoTrentoItaly

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