Abstract
This paper presents a new model for the restoration of semi-transparent blotches on archived sepia-toned images. Its main feature is the combination of Human Visual System mechanism and Lie groups transformations properties. The former allows to define restoration as a gradual reduction of the visual perception of the defect. The latter allows to easily select the transformation that better performs this reduction exploiting Lie groups properties. Extensive experimental results on original photographs of the Alinari Archive affected by semi-transparent blotches show the potential of the proposed approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bertalmio, M., Sapiro, G., Caselles, V., Bellester, B.: Image inpainting. In: Proc. of SIGGRAPH 2000, pp. 417–424 (2000)
Bertalmio, M., Vese, L., Sapiro, G., Osher, S.: Simultaneous structure and texture image inpainting. IEEE Trans. on Image Proc. 12(8), 882–889 (2003)
Bruni, V., Crawford, A., Kokaram, A., Vitulano, D.: Semi-transparent blotches removal from sepia images exploiting visibility laws. Sig. Image and Video Proc. (2011)
Crawford, A.J., Bruni, V., Kokaram, A., Vitulano, D.: Multiscale semitransparent blotch removal on archived photographs using bayesian matting techniques and visibility laws. In: Proc. ICIP 2007, St. Antonio, Florida (2007)
Criminisi, A., Perez, P., Toyama, K.: Region filling and object removal by exemplar-based image inpainting. IEEE Trans. on Image Proc. 13(9), 1200–1212 (2004)
Dodwell, P.C.: The Lie transformation group model of visual perception. Perception and Psychophysics 34(1), 1–16 (1983)
Drummond, T., Cipolla, R.: Application of Lie algebras to visual servoing. Int. J. of Computer Vision 37(1), 21–41 (2000)
Efros, A., Freeman, W.: Image quilting for texture synthesis and transfer. In: Proc. of SIGGRAPH, pp. 341–346 (2001)
Greenblatt, A., Agaian, S., Panetta, K.: Restoration of images damaged by semi-transparent water blotches using localized image enhancement. In: Proc. of SPIE (2008)
Helgason, S.: Differential geometry and symmetric spaces. In: Pure and Appl., vol. XII, Academic Press, New York (1962)
Hoffman, W.: The Lie algebra of visual perception. J. of Math. Psycho. 3(1), 65–98 (1966)
Kokaram, A.: Motion Picture Restoration. Digital Algorithms for Artifact Suppression in Degraded Motion Picture Film and Video. Springer (1998)
Kokaram, A.: Parametric texture synthesis for filling holes in pictures. In: Proc. of ICIP (2002)
Mansouri, A., Mukherjee, D.: Constraining active contour evolution via Lie groups of transformation. IEEE Trans. Image Proc. 13(6), 853–863 (2004)
Mukherjee, D., Acton, S.: Affine and projective active contour models. Pattern Rec. 40(3) (2007)
Nilsson, M., Dahl, M., Claesson, I.: The successive mean quantization transform. In: Proc. of ICASSP, pp. 429–432 (2005)
Pappas, T.N., Safranek, R.J., Chen, J.: Perceptual criteria for image quality evaluation. In: Bovik, A. (ed.) Handbook of Image and Video Processing, pp. 939–959. Academic Press (2005)
Porikli, F., Tuzel, O., Meer, P.: Covariance tracking using model update based on Lie algebra. In: Proc. of the IEEE Conf. on Comp. Vis. and Patt. Rec., CVPR (2006)
Stanco, F., Tenze, L., Ramponi, G.: Virtual restoration of vintage photographic prints affected by foxing and water blotches. J. of Electronic Imaging 14(4) (2005)
Varadarajan, V.: Lie groups, Lie algebras and their representations. Prentice-Hall Series in Modern Analysis. Prentice-Hall (1974)
Winkler, S.: Digital Video Quality. Vision Models and Metrics. Wiley (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bruni, V., Rossi, E., Vitulano, D. (2013). A Model for the Restoration of Semi-transparent Defects Based on Lie Groups and Human Visual System. In: Csurka, G., Kraus, M., Laramee, R.S., Richard, P., Braz, J. (eds) Computer Vision, Imaging and Computer Graphics. Theory and Application. Communications in Computer and Information Science, vol 359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38241-3_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-38241-3_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38240-6
Online ISBN: 978-3-642-38241-3
eBook Packages: Computer ScienceComputer Science (R0)