Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation

  • Fabien PierreEmail author
  • Jean-François Aujol
  • Charles-Alban Deledalle
  • Nicolas Papadakis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10746)


This paper focuses on the denoising of chrominance channels of color images. We propose a variational framework involving TV regularization that modifies the chrominance channel while preserving the input luminance of the image. The main issue of such a problem is to ensure that the denoised chrominance together with the original luminance belong to the RGB space after color format conversion. Standard methods of the literature simply truncate the converted RGB values, which lead to a change of hue in the denoised image. In order to tackle this issue, a “RGB compatible” chrominance range is defined on each pixel with respect to the input luminance. An algorithm to compute the orthogonal projection onto such a set is then introduced. Next, we propose to extend the CLEAR debiasing technique to avoid the loss of colourfulness produced by TV regularization. The benefits of our approach with respect to state-of-the-art methods are illustrated on several experiments.


Colorization Denoising Color editing Color assignment 

Supplementary material


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Fabien Pierre
    • 1
    Email author
  • Jean-François Aujol
    • 2
  • Charles-Alban Deledalle
    • 2
  • Nicolas Papadakis
    • 2
  1. 1.Université de Lorraine, LORIA, CNRS, UMR 7503, INRIA projet MagritLorraineFrance
  2. 2.Univ. Bordeaux, IMB, CNRS, UMR 5251TalenceFrance

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