A joint model of complex wavelet coefficients for texture retrieval

  • Authors:
  • Roland Kwitt;Andreas Uhl

  • Affiliations:
  • Department of Computer Sciences, University of Salzburg, Salzburg, Austria;Department of Computer Sciences, University of Salzburg, Salzburg, Austria

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

We present a Copula-based statistical model of complex wavelet coefficient magnitudes for color texture image retrieval. Our model is based on two-parameter Weibull distributions and a multivariate Student t Copula. For similarity measurement we employ a Monte-Carlo approach to approximate the Kullback-Leibler divergence between two models. The experimental retrieval results show that the incorporation of the dependency structure between subbands significantly improves retrieval accuracy compared to previous approaches.