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Perceptual Color Correction Through Variational Techniques

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4 Author(s)
Bertalmio, M. ; Departament de Tecnologia, Univ. Pompeu Fabra, Barcelona ; Caselles, V. ; Provenzi, E. ; Rizzi, A.

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

Published in:

Image Processing, IEEE Transactions on  (Volume:16 ,  Issue: 4 )

Date of Publication:

April 2007

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