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Perceptual Color Correction: A Variational Perspective

  • Edoardo Provenzi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5646)

Abstract

Variational techniques provide a powerful tool for understanding image features and creating new efficient algorithms. In the past twenty years, this machinery has been also applied to color images. Recently, a general variational framework that incorporates the basic phenomenological characteristics of the human visual system has been built. Here we recall the structure of this framework and give noticeable examples. We then propose a new analytic expression for a parameter that regulates contrast enhancement. This formula is defined in terms of intrinsic image features, so that the parameter no longer needs to be empirically set by a user, but it is automatically determined by the image itself.

Keywords

Human Visual System Color Constancy Contrast Function Variational Perspective Local Standard Deviation 
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

  • Edoardo Provenzi
    • 1
  1. 1.Departament de Tecnologies de la Informació i les ComunicacionsUniversitat Pompeu FabraBarcelonaSpain

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