Variable Exponent, Linear Growth Functionals in Image Restoration
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[1] Tony F. Chan,et al. High-Order Total Variation-Based Image Restoration , 2000, SIAM J. Sci. Comput..
[2] S. Osher,et al. Algorithms Based on Hamilton-Jacobi Formulations , 1988 .
[3] Fadil Santosa,et al. Recovery of Blocky Images from Noisy and Blurred Data , 1996, SIAM J. Appl. Math..
[4] Robert Hardt,et al. An evolution problem for linear growth functionals , 1994 .
[5] L. Vese. A Study in the BV Space of a Denoising—Deblurring Variational Problem , 2001 .
[6] R. Temam,et al. Pseudosolutions of the time-dependent minimal surface problem , 1978 .
[7] P. Lions,et al. Image recovery via total variation minimization and related problems , 1997 .
[8] V. Caselles,et al. Minimizing total variation flow , 2000, Differential and Integral Equations.
[9] Guillermo Sapiro,et al. Image inpainting , 2000, SIGGRAPH.
[10] Ross T. Whitaker,et al. A multi-scale approach to nonuniform diffusion , 1993 .
[11] Mostafa Kaveh,et al. Fourth-order partial differential equations for noise removal , 2000, IEEE Trans. Image Process..
[12] Guy Bouchitté,et al. Integral representation of convex functionals on a space of measures , 1988 .
[13] J. Sethian,et al. FRONTS PROPAGATING WITH CURVATURE DEPENDENT SPEED: ALGORITHMS BASED ON HAMILTON-JACOB1 FORMULATIONS , 2003 .
[14] Tony F. Chan,et al. Euler's Elastica and Curvature-Based Inpainting , 2003, SIAM J. Appl. Math..
[15] V. Caselles,et al. Parabolic Quasilinear Equations Min-imizing Linear Growth Functionals , 2004 .
[16] C. Vogel,et al. Analysis of bounded variation penalty methods for ill-posed problems , 1994 .
[17] Tony F. Chan,et al. Mathematical Models for Local Nontexture Inpaintings , 2002, SIAM J. Appl. Math..
[18] Xiaodong Zhou. An evolution problem for plastic antiplanar shear , 1992 .
[19] Mila Nikolova,et al. Weakly Constrained Minimization: Application to the Estimation of Images and Signals Involving Constant Regions , 2004, Journal of Mathematical Imaging and Vision.
[20] Yunmei Chen,et al. Minimization Problems and Associated Flows Related to Weighted p Energy and Total Variation , 2003, SIAM J. Math. Anal..
[21] O. Ladyženskaja. Linear and Quasilinear Equations of Parabolic Type , 1968 .
[22] Giuseppe Buttazzo,et al. Integral representation and relaxation of local functionals , 1985 .
[23] Chak-Kuen Wong,et al. Total variation image restoration: numerical methods and extensions , 1997, Proceedings of International Conference on Image Processing.
[24] Jean-Michel Morel,et al. Level lines based disocclusion , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).
[25] J. L. Webb. OPERATEURS MAXIMAUX MONOTONES ET SEMI‐GROUPES DE CONTRACTIONS DANS LES ESPACES DE HILBERT , 1974 .
[26] W. Ring. Structural Properties of Solutions to Total Variation Regularization Problems , 2000 .
[27] J. Morel,et al. An axiomatic approach to image interpolation. , 1998, IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
[28] H. Brezis. Opérateurs maximaux monotones et semi-groupes de contractions dans les espaces de Hilbert , 1973 .
[29] E. Giusti. Minimal surfaces and functions of bounded variation , 1977 .
[30] V. Caselles,et al. THE MINIMIZING TOTAL VARIATION FLOW WITH MEASURE INITIAL CONDITIONS , 2004 .
[31] Tony F. Chan,et al. Spatially and Scale Adaptive Total Variation Based Regularization and Anisotropic Diiusion in Image Processing , 1996 .
[32] L. Vese,et al. A Variational Method in Image Recovery , 1997 .
[33] M. Novaga,et al. The Total Variation Flow in RN , 2002 .
[34] L. Evans. Measure theory and fine properties of functions , 1992 .
[35] Arvid Lundervold,et al. Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time , 2003, IEEE Trans. Image Process..
[36] C. Ballester,et al. The Dirichlet Problem for the Total Variation Flow , 2001 .
[37] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[38] Wenyuan Xu,et al. Behavioral analysis of anisotropic diffusion in image processing , 1996, IEEE Trans. Image Process..