Non-local Methods with Shape-Adaptive Patches (NLM-SAP)
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[1] Patrick Bouthemy,et al. Patch-Based Nonlocal Functional for Denoising Fluorescence Microscopy Image Sequences , 2010, IEEE Transactions on Medical Imaging.
[2] Roberto Manduchi,et al. Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[3] T. Chan,et al. Edge-preserving and scale-dependent properties of total variation regularization , 2003 .
[4] Jong-Sen Lee,et al. Digital image smoothing and the sigma filter , 1983, Comput. Vis. Graph. Image Process..
[5] Alessandro Foi,et al. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.
[6] Radu Ciprian Bilcu,et al. Combined Non-Local averaging and intersection of confidence intervals for image de-noising , 2008, 2008 15th IEEE International Conference on Image Processing.
[7] Larry Wasserman,et al. All of Nonparametric Statistics (Springer Texts in Statistics) , 2006 .
[8] D. Steinberg,et al. Technometrics , 2008 .
[9] Jérôme Darbon,et al. Fast nonlocal filtering applied to electron cryomicroscopy , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[10] Joseph Salmon,et al. NL-Means and aggregation procedures , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[11] Arnak S. Dalalyan,et al. Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity , 2008, Machine Learning.
[12] Victor Solo. A sure-fired way to choose smoothing parameters in ill-conditioned inverse problems , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[13] Martin J. Wainwright,et al. Image denoising using scale mixtures of Gaussians in the wavelet domain , 2003, IEEE Trans. Image Process..
[14] Florence Tupin,et al. NL-InSAR: Nonlocal Interferogram Estimation , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[15] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[16] L. Wasserman. All of Nonparametric Statistics , 2005 .
[17] Guy Gilboa,et al. Nonlocal Operators with Applications to Image Processing , 2008, Multiscale Model. Simul..
[18] Jaakko Astola,et al. From Local Kernel to Nonlocal Multiple-Model Image Denoising , 2009, International Journal of Computer Vision.
[19] Alexandre B. Tsybakov,et al. Optimal Rates of Aggregation , 2003, COLT.
[20] Colin L. Mallows,et al. Some Comments on Cp , 2000, Technometrics.
[21] J. Polzehl,et al. Adaptive weights smoothing with applications to image restoration , 1998 .
[22] I. Johnstone,et al. Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .
[23] Suyash P. Awate,et al. Unsupervised, information-theoretic, adaptive image filtering for image restoration , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Andrew R. Barron,et al. Information Theory and Mixing Least-Squares Regressions , 2006, IEEE Transactions on Information Theory.
[25] Thierry Blu,et al. The SURE-LET Approach to Image Denoising , 2007, IEEE Transactions on Image Processing.
[26] Franklin C. Crow,et al. Summed-area tables for texture mapping , 1984, SIGGRAPH.
[27] Jean-Michel Morel,et al. A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..
[28] J. Aujol,et al. On the parameter choice for the Non-Local Means , 2010 .
[29] Arkadi Nemirovski,et al. Topics in Non-Parametric Statistics , 2000 .
[30] Mila Nikolova,et al. Local Strong Homogeneity of a Regularized Estimator , 2000, SIAM J. Appl. Math..
[31] Leonid P. Yaroslavsky,et al. Digital Picture Processing , 1985 .
[32] Jin Wang,et al. Fast Non-Local Algorithm for Image Denoising , 2006, 2006 International Conference on Image Processing.
[33] Oscar C. Au,et al. A fast NL-Means method in image denoising based on the similarity of spatially sampled pixels , 2009, 2009 IEEE International Workshop on Multimedia Signal Processing.
[34] Lionel Moisan,et al. Total Variation as a Local Filter , 2011, SIAM J. Imaging Sci..
[35] Guillermo Sapiro,et al. Fast image and video denoising via nonlocal means of similar neighborhoods , 2005, IEEE Signal Processing Letters.
[36] Joseph Salmon,et al. On Two Parameters for Denoising With Non-Local Means , 2010, IEEE Signal Processing Letters.
[37] Jean-Michel Morel,et al. Non-Local Means Denoising , 2011, Image Process. Line.
[38] Dimitri Van De Ville,et al. SURE-Based Non-Local Means , 2009, IEEE Signal Processing Letters.
[39] Kostadin Dabov,et al. BM3D Image Denoising with Shape-Adaptive Principal Component Analysis , 2009 .
[40] Eero P. Simoncelli,et al. Learning to be Bayesian without Supervision , 2006, NIPS.
[41] Stéphane Mallat,et al. Sparse geometric image representations with bandelets , 2005, IEEE Transactions on Image Processing.
[42] Charles Kervrann,et al. Optimal Spatial Adaptation for Patch-Based Image Denoising , 2006, IEEE Transactions on Image Processing.
[43] Arnak S. Dalalyan,et al. Aggregation by exponential weighting, sharp oracle inequalities and sparsity , 2008 .
[44] Aleksandra Pizurica,et al. An improved non-local denoising algorithm , 2008 .
[45] Yann Strozecki,et al. From patches to pixels in Non-Local methods: Weighted-average reprojection , 2010, 2010 IEEE International Conference on Image Processing.
[46] Laurent Condat. A Simple Trick to Speed Up and Improve the Non-Local Means , 2010 .
[47] C. L. Mallows. Some comments on C_p , 1973 .
[48] Thierry Blu,et al. Monte-Carlo Sure: A Black-Box Optimization of Regularization Parameters for General Denoising Algorithms , 2008, IEEE Transactions on Image Processing.
[49] Arnak S. Dalalyan,et al. Aggregation by Exponential Weighting and Sharp Oracle Inequalities , 2007, COLT.
[50] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[51] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[52] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[53] Pierrick Coupé,et al. Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal , 2007, SSVM.
[54] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[55] C. Mallows. More comments on C p , 1995 .
[56] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[57] H. Hudson. A Natural Identity for Exponential Families with Applications in Multiparameter Estimation , 1978 .
[58] Mohamed Cheriet,et al. Robust NL-Means Filter With Optimal Pixel-Wise Smoothing Parameter for Statistical Image Denoising , 2009, IEEE Transactions on Signal Processing.
[59] Florence Tupin,et al. Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights , 2009, IEEE Transactions on Image Processing.
[60] E. Mammen,et al. Optimal spatial adaptation to inhomogeneous smoothness: an approach based on kernel estimates with variable bandwidth selectors , 1997 .
[61] Emmanuel J. Candès,et al. The curvelet transform for image denoising , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[62] Michael Elad,et al. Learning Multiscale Sparse Representations for Image and Video Restoration , 2007, Multiscale Model. Simul..
[63] J. Polzehl,et al. Propagation-Separation Approach for Local Likelihood Estimation , 2006 .
[64] C. Stein. Estimation of the Mean of a Multivariate Normal Distribution , 1981 .
[65] Daniel Cremers,et al. Efficient Nonlocal Means for Denoising of Textural Patterns , 2008, IEEE Transactions on Image Processing.
[66] Jaakko Astola,et al. Directional varying scale approximations for anisotropic signal processing , 2004, 2004 12th European Signal Processing Conference.
[67] A. Goldenshluger. On Spatial Adaptive Estimation of Nonparametric Regression , 2004 .
[68] Yong Cheng,et al. Comments on "Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering" , 2011, IEEE Trans. Image Process..
[69] Ker-Chau Li,et al. From Stein's Unbiased Risk Estimates to the Method of Generalized Cross Validation , 1985 .
[70] Guillermo Sapiro,et al. Non-local sparse models for image restoration , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[71] Karen O. Egiazarian,et al. Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images , 2007, IEEE Transactions on Image Processing.