Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
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Lei Zhang | Guangming Shi | Xiaolin Wu | Weisheng Dong | W. Dong | Lei Zhang | Guangming Shi | Xiaolin Wu
[1] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[2] Keinosuke Fukunaga,et al. Introduction to statistical pattern recognition (2nd ed.) , 1990 .
[3] Kohji Fukunaga,et al. Introduction to Statistical Pattern Recognition-Second Edition , 1990 .
[4] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[5] Michal Irani,et al. Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency , 1993, J. Vis. Commun. Image Represent..
[6] Stéphane Mallat,et al. Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..
[7] David J. Field,et al. What Is the Goal of Sensory Coding? , 1994, Neural Computation.
[8] David L. Donoho,et al. De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.
[9] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[10] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[11] Aggelos K. Katsaggelos,et al. Digital image restoration , 2012, IEEE Signal Process. Mag..
[12] Xiaolin Wu,et al. Piecewise 2D autoregression for predictive image coding , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).
[13] Mario Bertero,et al. Introduction to Inverse Problems in Imaging , 1998 .
[14] Kjersti Engan,et al. Multi-frame compression: theory and design , 2000, Signal Process..
[15] D. Donoho,et al. Atomic Decomposition by Basis Pursuit , 2001 .
[16] M. Orchard,et al. New edge-directed interpolation , 2001, IEEE Trans. Image Process..
[17] Yücel Altunbasak,et al. Eigenface-based super-resolution for face recognition , 2002, Proceedings. International Conference on Image Processing.
[18] William T. Freeman,et al. Example-Based Super-Resolution , 2002, IEEE Computer Graphics and Applications.
[19] I. Daubechies,et al. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint , 2003, math/0307152.
[20] Zhou Wang,et al. Image Quality Assessment: From Error Measurement to Structural Similarity , 2004 .
[21] Andy M. Yip,et al. Recent Developments in Total Variation Image Restoration , 2004 .
[22] Pierre Vandergheynst,et al. Learning structured dictionaries for image representation , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..
[23] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[24] Patrick L. Combettes,et al. Signal Recovery by Proximal Forward-Backward Splitting , 2005, Multiscale Model. Simul..
[25] Xue-Cheng Tai,et al. Iterative Image Restoration Combining Total Variation Minimization and a Second-Order Functional , 2005, International Journal of Computer Vision.
[26] Stanley Osher,et al. Deblurring and Denoising of Images by Nonlocal Functionals , 2005, Multiscale Model. Simul..
[27] Jean-Michel Morel,et al. A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..
[28] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[29] Aggelos K. Katsaggelos,et al. Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation , 2006, IEEE Transactions on Image Processing.
[30] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[31] E.J. Candes. Compressive Sampling , 2022 .
[32] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[33] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[34] Emmanuel J. Candès,et al. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.
[35] Jean-Luc Starck,et al. Sparse Representation-based Image Deconvolution by iterative Thresholding , 2006 .
[36] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[37] José M. Bioucas-Dias,et al. A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration , 2007, IEEE Transactions on Image Processing.
[38] Mohamed-Jalal Fadili,et al. Morphological Component Analysis: An Adaptive Thresholding Strategy , 2007, IEEE Transactions on Image Processing.
[39] Stephen P. Boyd,et al. Enhancing Sparsity by Reweighted ℓ1 Minimization , 2007, 0711.1612.
[40] Xiangjun Zhang,et al. Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation , 2008, IEEE Transactions on Image Processing.
[41] Stanley Osher,et al. Image Super-Resolution by TV-Regularization and Bregman Iteration , 2008, J. Sci. Comput..
[42] Thomas S. Huang,et al. Image super-resolution as sparse representation of raw image patches , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Michael Elad,et al. Sparse Representation for Color Image Restoration , 2008, IEEE Transactions on Image Processing.
[44] Guillermo Sapiro,et al. Supervised Dictionary Learning , 2008, NIPS.
[45] Karen O. Egiazarian,et al. Image restoration by sparse 3D transform-domain collaborative filtering , 2008, Electronic Imaging.
[46] Aggelos K. Katsaggelos,et al. Total variation super resolution using a variational approach , 2008, 2008 15th IEEE International Conference on Image Processing.
[47] Michael Elad,et al. Learning Multiscale Sparse Representations for Image and Video Restoration , 2007, Multiscale Model. Simul..
[48] José M. Bioucas-Dias,et al. Adaptive total variation image deblurring: A majorization-minimization approach , 2009, Signal Process..
[49] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[50] Michael Elad,et al. From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images , 2009, SIAM Rev..
[51] Michael Elad,et al. Generalizing the Nonlocal-Means to Super-Resolution Reconstruction , 2009, IEEE Transactions on Image Processing.
[52] Mei Han,et al. SoftCuts: A Soft Edge Smoothness Prior for Color Image Super-Resolution , 2009, IEEE Transactions on Image Processing.
[53] Guillermo Sapiro,et al. Non-local sparse models for image restoration , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[54] David Zhang,et al. PCA-Based Spatially Adaptive Denoising of CFA Images for Single-Sensor Digital Cameras , 2009, IEEE Transactions on Image Processing.
[55] Michael Elad,et al. A Plurality of Sparse Representations Is Better Than the Sparsest One Alone , 2009, IEEE Transactions on Information Theory.
[56] Javier Portilla,et al. Image restoration through l0 analysis-based sparse optimization in tight frames , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[57] Marc Teboulle,et al. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems , 2009, IEEE Transactions on Image Processing.
[58] Xiangjun Zhang,et al. Model-Guided Adaptive Recovery of Compressive Sensing , 2009, 2009 Data Compression Conference.
[59] Michael Elad,et al. Double Sparsity: Learning Sparse Dictionaries for Sparse Signal Approximation , 2010, IEEE Transactions on Signal Processing.
[60] Michael Elad,et al. Dictionaries for Sparse Representation Modeling , 2010, Proceedings of the IEEE.
[61] Stephen J. Wright,et al. Computational Methods for Sparse Solution of Linear Inverse Problems , 2010, Proceedings of the IEEE.
[62] Michael Elad,et al. On the Role of Sparse and Redundant Representations in Image Processing , 2010, Proceedings of the IEEE.
[63] Xavier Bresson,et al. Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction , 2010, SIAM J. Imaging Sci..
[64] Nikolas P. Galatsanos,et al. Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors , 2010, IEEE Transactions on Image Processing.
[65] David Zhang,et al. Two-stage image denoising by principal component analysis with local pixel grouping , 2010, Pattern Recognit..
[66] Michael Elad,et al. Closed-Form MMSE Estimation for Signal Denoising Under Sparse Representation Modeling Over a Unitary Dictionary , 2010, IEEE Transactions on Signal Processing.