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Mutual Information-Based Texture Spectral Similarity Criterion

  • Michal HaindlEmail author
  • Michal Havlíček
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11844)

Abstract

Fast novel texture spectral similarity criterion, capable of assessing spectral modeling resemblance of color and Bidirectional Texture Functions (BTF) textures, is presented. The criterion reliably compares the multi-spectral pixel values of two textures, and thus it allows to assist an optimal modeling or acquisition setup development by comparing the original data with its synthetic simulations. The suggested criterion, together with existing alternatives, is extensively tested in a long series of thousands specially designed monotonically degrading experiments moreover, successfully compared on a wide variety of color and BTF textures.

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Notes

Acknowledgments

The Czech Science Foundation project GAČR 19-12340S supported this research.

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.The Institute of Information Theory and Automation of the Czech Academy of SciencesPragueCzechia

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