A Spectral Approach to Total Variation
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[1] Mila Nikolova,et al. Regularizing Flows for Constrained Matrix-Valued Images , 2004, Journal of Mathematical Imaging and Vision.
[2] S. Osher,et al. IMAGE DECOMPOSITION AND RESTORATION USING TOTAL VARIATION MINIMIZATION AND THE H−1 NORM∗ , 2002 .
[3] M. Novaga. The Total Variation Flow , 2003 .
[4] Thomas Brox,et al. A TV flow based local scale estimate and its application to texture discrimination , 2006, J. Vis. Commun. Image Represent..
[5] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[6] B. Nadler,et al. Diffusion maps, spectral clustering and reaction coordinates of dynamical systems , 2005, math/0503445.
[7] Yehoshua Y. Zeevi,et al. Variational denoising of partly textured images by spatially varying constraints , 2006, IEEE Transactions on Image Processing.
[8] Daubechies,et al. Ten Lectures on Wavelets Volume 921 , 1992 .
[9] Fan Chung,et al. Spectral Graph Theory , 1996 .
[10] Ricardo H. Nochetto,et al. Discrete Total Variation Flows without Regularization , 2012, SIAM J. Numer. Anal..
[11] Jianhong Shen,et al. A Good Image Model Eases Restoration , 2002 .
[12] Stéphane Lafon,et al. Diffusion maps , 2006 .
[13] Jiří Matas,et al. Computer Vision - ECCV 2004 , 2004, Lecture Notes in Computer Science.
[14] Tony F. Chan,et al. Aspects of Total Variation Regularized L[sup 1] Function Approximation , 2005, SIAM J. Appl. Math..
[15] Yehoshua Y. Zeevi,et al. Estimation of optimal PDE-based denoising in the SNR sense , 2006, IEEE Transactions on Image Processing.
[16] Andrew P. Witkin,et al. Scale-Space Filtering , 1983, IJCAI.
[17] S. Osher,et al. Nonlinear inverse scale space methods , 2006 .
[18] P. Lions,et al. Image recovery via total variation minimization and related problems , 1997 .
[19] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[20] M. Victor Wickerhauser,et al. Wavelets: Algorithms and Applications (Yves Meyer) , 1994, SIAM Rev..
[21] Thomas Brox,et al. On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs , 2004, SIAM J. Numer. Anal..
[22] Stanley Osher,et al. Image Decomposition and Restoration Using Total Variation Minimization and the H1 , 2003, Multiscale Model. Simul..
[23] Yves Meyer,et al. Oscillating Patterns in Image Processing and Nonlinear Evolution Equations: The Fifteenth Dean Jacqueline B. Lewis Memorial Lectures , 2001 .
[24] T. Chan,et al. Edge-preserving and scale-dependent properties of total variation regularization , 2003 .
[25] E. Sidky,et al. Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization , 2008, Physics in medicine and biology.
[26] Bin Luo,et al. Local Scale Measure from the Topographic Map and Application to Remote Sensing Images , 2009, Multiscale Model. Simul..
[27] Petre Stoica,et al. Introduction to spectral analysis , 1997 .
[28] Joachim Weickert,et al. Anisotropic diffusion in image processing , 1996 .
[29] Jesús Ildefonso Díaz Díaz,et al. Some qualitative properties for the total variation flow , 2002 .
[30] J. Koenderink. The structure of images , 2004, Biological Cybernetics.
[31] Otmar Scherzer,et al. Inverse Total Variation Flow , 2007, Multiscale Model. Simul..
[32] Tony F. Chan,et al. Structure-Texture Image Decomposition—Modeling, Algorithms, and Parameter Selection , 2006, International Journal of Computer Vision.
[33] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[34] V. Caselles,et al. Minimizing total variation flow , 2000, Differential and Integral Equations.
[35] Benjamin Berkels,et al. Cartoon Extraction Based on Anisotropic Image Classification Vision , Modeling , and Visualization Proceedings , 2006 .
[36] Thomas Brox,et al. High Accuracy Optical Flow Estimation Based on a Theory for Warping , 2004, ECCV.
[37] B. Porat,et al. Digital Spectral Analysis with Applications. , 1988 .
[38] Stanley Osher,et al. Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing , 2003, J. Sci. Comput..
[39] David L. Donoho,et al. De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.
[40] Yoshikazu Giga,et al. Scale-Invariant Extinction Time Estimates for Some Singular Diffusion Equations , 2010 .
[41] J. Weickert,et al. Locally analytic schemes: A link between diffusion filtering and wavelet shrinkage , 2008 .
[42] Antonin Chambolle,et al. Dual Norms and Image Decomposition Models , 2005, International Journal of Computer Vision.