Abstract
In this paper, we propose a model for multi-color image inpainting composed of n colors. In particular, as in the binary model, i.e., the Bertozzi–Esedoglu–Gillette–Cahn–Hilliard equation (Bertozzi et al. in IEEE Trans Image Proc 16:285–291, 2007, Multiscale Model Simul 6:913–936, 2007), we add a fidelity term to the corresponding Cahn–Hilliard system. We are interested in the study of the asymptotic behavior, in terms of finite-dimensional attractors, of the dynamical system associated with the problem. The main difficulty here is that we no longer have the conservation of mass, i.e., of the spatial average of the order parameter c, as in the Cahn–Hilliard system. Instead, we prove that the spatial average of c is dissipative. We finally give numerical simulations which confirm and extend previous ones on the efficiency of the binary model.
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References
Bates, P.W., Fife, P.C.: The dynamics of nucleation for the Cahn–Hilliard equation. SIAM J. Appl. Math. 53, 990–1008 (1993)
Bertalmio, M., Sapiro, G., Casselles, V., Ballester, C.: Image inpainting. In: Akeley, K. (ed.) Siggraph 2000, Computer Graphics Proceedings, pp. 417–424. ACM Press/Addison-Wesley, New York (2000)
Bertalmio, M., Bertozzi, A., Sapiro, G.: Navier–Stokes, fluid dynamics, and image and video inpainting. Proc. IEEE Comput. Vis. Pattern Recognit. 1, 335–362 (2001)
Bertozzi, A., Esedoglu, S., Gillette, A.: Inpainting of binary images using the Cahn–Hilliard equation. IEEE Trans. Image Proc. 16, 285–291 (2007)
Bertozzi, A., Esedoglu, S., Gillette, A.: Analysis of a two-scale Cahn–Hilliard model for binary image inpainting. Multiscale Model. Simul. 6, 913–936 (2007)
Bosch, J., Stoll, M.: A fractional inpainting model based on the vector-valued Cahn–Hilliard equation (preprint)
Bosch, J., Kay, D., Stoll, M., Wathen, A.J.: Fast solvers for Cahn–Hilliard inpainting. SIAM J. Image Sci. 7, 67–97 (2013)
Boyer, F., Lapuerta, C.: Study of a three component Cahn–Hilliard flow model, M2AN. Model. Math. Anal. Numer. 40, 653–687 (2006)
Braverman, C.: Photoshop Retouching Handbook. IDG Books Worldwide, Foster City (1998)
Burger, M., He, L., Schönlieb, C.: Cahn–Hilliard inpainting and a generalization for grayvalue images. SIAM J. Image Sci. 3, 1129–1167 (2009)
Chan, T.F., Kang, S.H., Shen, J.: Euler’s elastica and cuvature-based inpainting. SIAM J. Appl. Math. 63, 564–592 (2002)
Chan, T.F., Shen, J., Zhou, H.M.: Total variation wavelet inpainting. J. Math. Imaging Vis. 25, 107–125 (2006)
Chan, T.F., Shen, J.: Variationnal restoration of nonflat image features: models and algorithms. SIAM J. Appl. Math. 61, 1338–1361 (2001)
Chan, T.F., Shen, J.: Mathematical models of local nontexture inpaintings. SIAM J. Appl. Math. 62, 1019–1043 (2002)
Chan, T.F., Shen, J.: Variationnal image inpainting. Commun. Pure Appl. Math. 58, 579–619 (2005)
Cherfils, L., Fakih, H., Miranville, A.: On the Bertozzi–Esedoglu–Gillette–Cahn–Hilliard equation with logarithmic nonlinear terms, SIAM J. Imaging Sci. 8, 1123–1140 (2015)
Cherfils, L., Miranville, A., Zelik, S.: On a generalized Cahn–Hilliard equation with biological applications. Discrete Contin. Dyn. Syst. B 19, 2013–2026 (2014)
Cherfils, L., Fakih, H., Miranville, A.: Finite-dimensional attractors for the Bertozzi–Esedoglu–Gillette–Cahn–Hilliard equation in image inpainting. Inverse Probl. Imaging 9, 105–125 (2015)
Conti, M., Gatti, S., Miranville, A.: Multi-component Cahn–Hilliard systems with dynamic boundary conditions. Nonlinear Anal. Ser. B 25, 137–166 (2015)
Dobrosotskaya, J.A., Bertozzi, A.: A Wavelet–Laplace variational technique for image deconvolution and inpainting. Trans. Image Proc. 17, 657–663 (2008)
Dolcetta, I.C., Vita, S.F., March, R.: Area-preserving curve-shortening flows: from phase separation to image processing. Interfaces Free Bound 4, 325–343 (2002)
Eden, A., Foias, C., Nicolaenko, B., Temam, R.: Expenential Attractors for Dissipative Evolution Equations, Research in Applied Mathematics, vol. 37. John-Wiley, New York (1994)
Efendiev, M., Miranville, A., Zelik, S.: Exponential attractors for a nonlinear reaction–diffusion system in \(\mathbb{R}^{3}\). C.R. Acad. Sci. Paris Sér. I Math. 330, 713–718 (2000)
Efendiev, M., Miranville, A., Zelik, S.: Exponential attractors for a singularly perturbed Cahn–Hilliard system. Math. Nachr. 272, 11–31 (2004)
Elliott, C.M., Luckhaus, S.: A generalised diffusion equation for phase separation of a multicomponent mixture with interfacial free energy, SFB256 University of Bonn. Preprint 195 (1991)
Elliott, C.M.: The Cahn–Hilliard model for the kinetics of phase separation. In: Mathematical Models for Phase Change Problems, pp. 35–73. Birkhäuser, Basel (1989)
Elliott, C.M., French, D.A., Milner, F.A.: A second order splitting method for the Cahn–Hilliard equation. Numer. Math. 54, 575–590 (1989)
Emile-Male, G.: The Restorer’s Handbook of Easel Painting. Van Nostrand Reinhold, New York (1976)
Esedoglu, S., Shen, J.: Digital inpainting based on the Mumford–Shah–Euler image model. Eur. J. Appl. Math. 13, 353–370 (2002)
Eyre, J.D.: Systems of Cahn–Hilliard equations. SIAM J. Appl. Math. 53, 1686–1712 (1993)
FreeFem++ is freely. http://www.freefem.org/ff++
Garcke, H., Nestler, B., Stoth, B.: On anisotropic order parameter models for multi-phase systems and their sharp interface limits. Phys. D 115, 87–108 (1998)
Grasselli, M., Pierre, M.: A splitting method for the Cahn–Hilliard equation with inertial term. Math. Models Methods Appl. Sci. 20, 1–28 (2010)
Injrou, S., Pierre, M.: Stable discretizations of the Cahn–Hilliard–Gurtin equations. Discrete Contin. Dyn. Syst. 22, 1065–1080 (2008)
King, D.: The Commissar Vanishes. Henry Holt and Company, New York (1997)
Kokaram, A.C.: Motion Picture Restoration: Digital Algorithms for Artefact Suppression in Degraded Motion Picture Film and Video. Springer Verlag, New York (1998)
Li, D., Zhong, C.: Global attractor for the Cahn–Hilliard system with fast growing nonlinearity. J. Differ. Equ. 149, 191–210 (1998)
Masnou, S., Morel, J.M.: Level lines based disocclusion. In: Proceedings of the 5th IEEE International Conference on Image Processing, vol. 3, pp. 259–263 (1998)
Miranville, A., Zelik, S.: Attractors for dissipative partial differential equations in bounded and unbounded domains. In: Dafermos, C.M., Pokorny, M. (eds.) Handbook of Differential Equations, Evolutionary Partial Differential Equations, vol. 4, pp. 103–200. Elsevier, Amsterdam (2008)
Novick-Cohen, A., Segel, L.A.: Nonlinear aspects of the Cahn–Hilliard equation. Phys. D 10, 277–298 (1984)
Rudin, L., Osher, S.: Total variation based image restoration with free local constraints. In: Proceedings of the 1st IEEE ICIP, vol 1, pp. 259–268 (1994)
Rudin, L., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Phys. D 60, 259–268 (1992)
Taylor, J.E., Cahn, J.W.: Linking anisotropic sharp and diffuse surface motion laws via gradient flows. J. Stat. Phys. 77, 183–197 (1994)
Temam, R.: Infinite-Dimensional Dynamical Systems in Mechanics and Physics, 2nd edn. Springer-Verlag, New York (1997)
Tsai, A., Yezzi, J.A., Willsky, A.S.: Curve evolution implementation of the Mumford–Shah functional for image segmentation, denoising, interpolation, and magnification. Trans. Image Proc. 10, 1169–1186 (2001)
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The authors wish to thank the referees for their careful reading of the article and useful comments.
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Cherfils, L., Fakih, H. & Miranville, A. A Cahn–Hilliard System with a Fidelity Term for Color Image Inpainting. J Math Imaging Vis 54, 117–131 (2016). https://doi.org/10.1007/s10851-015-0593-9
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DOI: https://doi.org/10.1007/s10851-015-0593-9
Keywords
- Cahn–Hilliard system
- Fidelity term
- Color image inpainting
- Well-posedness
- Exponential attractor
- Simulations