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On Spatiochromatic Features in Natural Images Statistics

  • Edoardo ProvenziEmail author
  • Julie Delon
  • Yann Gousseau
  • Baptiste Mazin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9280)

Abstract

In this communication, we show that two simple assumptions on the covariances matrices of color images, namely stationarity and commutativity, can explain the observed shape of decorrelated spatiochromatic elements (bases obtained by PCA) of natural color images. The validity of these assumptions is tested on a large database of RAW images. Our experiments also show that the spatiochromatic covariance decays exponentially with the spatial distance between pairs of pixels and not as a power law as it is commonly assumed.

Keywords

Natural Image Kronecker Product Fourier Basis Circulant Matrice Semilogarithmic Scale 
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 International Publishing Switzerland 2015

Authors and Affiliations

  • Edoardo Provenzi
    • 1
    Email author
  • Julie Delon
    • 1
  • Yann Gousseau
    • 2
  • Baptiste Mazin
    • 2
  1. 1.Sorbonne Paris Cité, Laboratoire MAP5, UMR CNRS 8145Université Paris DescartesParisFrance
  2. 2.Télécom ParisTech, LTCI, CNRSParisFrance

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