IMAGE RESTORATION VIA HUMAN PERCEPTION AND LIE GROUPS

Vittoria Bruni, Elisa Rossi, Domenico Vitulano

Abstract

This paper presents a novel and user’s independent model for image restoration based on Lie group transformations. They allow to define a redundant set of transformations from which automatically select the ones that better invert the physical formation of the defect. Hence restoration consists of gradually reducing the visual perception of the defect. Extensive experimental results on original photographs, from Alinari Archive, affected by semi-transparent blotches show the potential of the proposed approach in removing degradation in different contexts without altering the original content of artworks.

References

  1. Bertalmio, M., Sapiro, G., Caselles, V., and Bellester, B. (2000). Image inpainting. In Proceedings of SIGGRAPH 2000.
  2. Bertalmio, M., Vese, L., Sapiro, G., and Osher, S. (2003). Simultaneous structure and texture image inpainting. In IEEE Transactions on Image Processing, 12(8).
  3. Bruni, V., Crawford, A., Kokaram, A., and Vitulano, D. (2011). Semi-transparent blotches removal from sepia images exploiting visibility laws. In Signal Image and Video Processing. Springer-Verlag.
  4. Crawford, A., Bruni, V., Kokaram, A., and Vitulano, D. (2007). Multiscale semitransparent blotch removal on archived photographs using bayesian matting techniques and visibility laws. In Proceedings of International Conference on Image Processing (ICIP 2007),S. Antonio, Florida. IEEE Signal Processing Society.
  5. Criminisi, A., Perez, P., and Toyama, K. (2004). Region filling and object removal by exemplar-based image inpainting. In IEEE Transactions on Image Processing, 13(9). IEEE Signal Processing Society.
  6. Drummond, T. and Cipolla, R. (2000). Application of lie algebras to visual servoing. In International Journal of Computer Vision, 37(1).
  7. Efros, A. and Freeman, W. (2001). Image quilting for texture synthesis and transfer. In Proceedings of SIGGRAPH 2001.
  8. Greenblatt, A., Agaian, S., and Panetta, K. (2008). Restoration of images damaged by semi-transparent water blotches using localized image enhancement. In Proceedings of SPIE 2008.
  9. Helgason, S. (1962). Differential geometry and symmetric spaces. Pure and Applied Mathematics, Vol. XII., Academic Press, New York-London.
  10. Kokaram, A. (1998). Motion Picture Restoration. Digital Algorithms for Artefact Suppression in Degraded Motion Picture Film and Video. Springer Verlag.
  11. Kokaram, A. (2002). Parametric texture synthesis for filling holes in pictures. In Proceedings of International
  12. Conference on Image Processing (ICIP 2002). IEEE
  13. Mansouri, A. and Mukherjee, D. (2004). Constraining active contour evolution via lie groups of transformation. In IEEE Transactions on Image Processing, 13(6). IEEE Signal Processing Society.
  14. Mukherjee, D. and Acton, S. (2007). Affine and projective active contour models. In Pattern Recognition, 40(3). Elsevier Science Inc.
  15. Nilsson, M., Dahl, M., and Claesson, I. (2005). The successive mean quantization transform. In Proceedings of ICASSP. IEEE Signal Processing Society.
  16. Pappas, T., Safranek, R., and Chen, J. (2005). Perceptual criteria for image quality evaluation. In Handbook of Image and Video Processing. Academic Press.
  17. Porikli, F., Tuzel, O., and Meer, P. (2006). Covariance tracking using model update based on lie algebra. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2006).
  18. Stanco, F., Tenze, L., and Ramponi, G. (2005). Virtual restoration of vintage photographic prints affected by foxing and water blotches. In Journal of Electronic Imaging, 14(4).
  19. Varadarajan, V. (1974). Lie groups, Lie algebras and their representations. Prentice-Hall Series in Modern Analysis. Prentice-Hall.
  20. Winkler, S. (2005). Digital Video Quality. Vision Models and Metrics. Wiley.
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Paper Citation


in Harvard Style

Bruni V., Rossi E. and Vitulano D. (2012). IMAGE RESTORATION VIA HUMAN PERCEPTION AND LIE GROUPS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 66-74. DOI: 10.5220/0003860600660074


in Bibtex Style

@conference{visapp12,
author={Vittoria Bruni and Elisa Rossi and Domenico Vitulano},
title={IMAGE RESTORATION VIA HUMAN PERCEPTION AND LIE GROUPS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={66-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003860600660074},
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 - IMAGE RESTORATION VIA HUMAN PERCEPTION AND LIE GROUPS
SN - 978-989-8565-03-7
AU - Bruni V.
AU - Rossi E.
AU - Vitulano D.
PY - 2012
SP - 66
EP - 74
DO - 10.5220/0003860600660074