Perceptual Color Correction Through Variational Techniques

  • Authors:
  • M. Bertalmio;V. Caselles;E. Provenzi;A. Rizzi

  • Affiliations:
  • Departament de Tecnologia, Univ. Pompeu Fabra, Barcelona;-;-;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2007

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Abstract

In this paper, we present a discussion about perceptual-based color correction of digital images in the framework of variational techniques. We propose a novel image functional whose minimization produces a perceptually inspired color enhanced version of the original. The variational formulation permits a more flexible local control of contrast adjustment and attachment to data. We show that a numerical implementation of the gradient descent technique applied to this energy functional coincides with the equation of automatic color enhancement (ACE), a particular perceptual-based model of color enhancement. Moreover, we prove that a numerical approximation of the Euler-Lagrange equation reduces the computational complexity of ACE from O(N2) to O(NlogN), where N is the total number of pixels in the image