AN ARTIFACT-FREE WAVELET MODEL FOR PERCEPTUAL CONTRAST ENHANCEMENT OF COLOR IMAGES

Edoardo Provenzi, Vicent Caselles

2012

Abstract

Contrast enhancement of color images can prove to be a difficult task because artifacts and unnatural colors can appear after the process. In this paper we propose a wavelet-based variational framework in which contrast enhancement is obtained through the minimization of a suitable energy functional of wavelet coefficients. We will show that this new approach has certain advantages with respect to the usual spatial techniques sustained by the fact that the wavelet representation is intrinsically local, multiscale and sparse. The Euler-Lagrange equations of the model are implicit equations involving the detail wavelet coefficients of the image. These equations can be quickly solved by Newton’s method, so that the algorithm can rapidly compute the enhanced detail coefficients. We will discuss the influence of the parameters tests on natural images to show that the method is artifact free within an ample range of variability of its parameters.

References

  1. Bradley, A. (1999). A wavelet visible difference predictor. IEEE Trans. on Image Proc., 8:717-730.
  2. Bradley, A. (1999). A wavelet visible difference predictor. IEEE Trans. on Image Proc., 8:717-730.
  3. Daubechies, I. (1992). Ten Lectures on Wavelets. SIAM.
  4. Daubechies, I. (1992). Ten Lectures on Wavelets. SIAM.
  5. Fausett, L. (2007). Applied Numerical Analysis Using MATLAB. Prentice Hall.
  6. Fausett, L. (2007). Applied Numerical Analysis Using MATLAB. Prentice Hall.
  7. Hess, R., Bradley, A., and Piotrowski, L. (1983). Contrastcoding in amblyopia i. differences in the neural basis of human amblyopia. Proc. R. Soc. London Ser. B 217, pages 309-330.
  8. Hess, R., Bradley, A., and Piotrowski, L. (1983). Contrastcoding in amblyopia i. differences in the neural basis of human amblyopia. Proc. R. Soc. London Ser. B 217, pages 309-330.
  9. Land, E. and McCann, J. (1971). Lightness and retinex theory. Journal of the Optical Society of America, 61(1):1-11.
  10. Land, E. and McCann, J. (1971). Lightness and retinex theory. Journal of the Optical Society of America, 61(1):1-11.
  11. Mallat, S. (2008). A Wavelet Tour of Signal Processing. Academic Press, 3rd edition.
  12. Mallat, S. (2008). A Wavelet Tour of Signal Processing. Academic Press, 3rd edition.
  13. Palma-Amestoy, R., Provenzi, E., Bertalmío, M., and Caselles, V. (2009). A perceptually inspired variational framework for color enhancement. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(3):458-474.
  14. Palma-Amestoy, R., Provenzi, E., Bertalmío, M., and Caselles, V. (2009). A perceptually inspired variational framework for color enhancement. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(3):458-474.
  15. Peli, E. (1990). Contrast in complex images. Journal of Opt. Society of Am. A, 7(10):2032-2040.
  16. Peli, E. (1990). Contrast in complex images. Journal of Opt. Society of Am. A, 7(10):2032-2040.
  17. Vandergheynst, P., Kutter, M., and Winkler, S. (2000). Wavelet-based contrast computation and application to digital image watermarking. In Storage and Retrieval for Image and Video Databases.
  18. Vandergheynst, P., Kutter, M., and Winkler, S. (2000). Wavelet-based contrast computation and application to digital image watermarking. In Storage and Retrieval for Image and Video Databases.
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Paper Citation


in Harvard Style

Provenzi E. and Caselles V. (2012). AN ARTIFACT-FREE WAVELET MODEL FOR PERCEPTUAL CONTRAST ENHANCEMENT OF COLOR IMAGES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 317-322. DOI: 10.5220/0003806403170322


in Harvard Style

Provenzi E. and Caselles V. (2012). AN ARTIFACT-FREE WAVELET MODEL FOR PERCEPTUAL CONTRAST ENHANCEMENT OF COLOR IMAGES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 317-322. DOI: 10.5220/0003806403170322


in Bibtex Style

@conference{visapp12,
author={Edoardo Provenzi and Vicent Caselles},
title={AN ARTIFACT-FREE WAVELET MODEL FOR PERCEPTUAL CONTRAST ENHANCEMENT OF COLOR IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={317-322},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003806403170322},
isbn={978-989-8565-03-7},
}


in Bibtex Style

@conference{visapp12,
author={Edoardo Provenzi and Vicent Caselles},
title={AN ARTIFACT-FREE WAVELET MODEL FOR PERCEPTUAL CONTRAST ENHANCEMENT OF COLOR IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={317-322},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003806403170322},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - AN ARTIFACT-FREE WAVELET MODEL FOR PERCEPTUAL CONTRAST ENHANCEMENT OF COLOR IMAGES
SN - 978-989-8565-03-7
AU - Provenzi E.
AU - Caselles V.
PY - 2012
SP - 317
EP - 322
DO - 10.5220/0003806403170322


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - AN ARTIFACT-FREE WAVELET MODEL FOR PERCEPTUAL CONTRAST ENHANCEMENT OF COLOR IMAGES
SN - 978-989-8565-03-7
AU - Provenzi E.
AU - Caselles V.
PY - 2012
SP - 317
EP - 322
DO - 10.5220/0003806403170322