Color Image Denoising via Discriminatively Learned Iterative Shrinkage
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[1] Chunming Li,et al. Intensity statistics-based HSI diffusion for color photo denoising , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Qi Gao,et al. A generative perspective on MRFs in low-level vision , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[3] Alessandro Foi,et al. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.
[4] Karen O. Egiazarian,et al. Color Image Denoising via Sparse 3D Collaborative Filtering with Grouping Constraint in Luminance-Chrominance Space , 2007, 2007 IEEE International Conference on Image Processing.
[5] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[6] I. Johnstone,et al. Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .
[7] Lei Zhang,et al. Sparsity-based image denoising via dictionary learning and structural clustering , 2011, CVPR 2011.
[8] Michael Elad,et al. Sparse Representation for Color Image Restoration , 2008, IEEE Transactions on Image Processing.
[9] Anat Levin,et al. Natural image denoising: Optimality and inherent bounds , 2011, CVPR 2011.
[10] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[11] L. Shao,et al. From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms , 2014, IEEE Transactions on Cybernetics.
[12] William T. Freeman,et al. A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation , 2010, ECCV.
[13] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[14] Yacov Hel-Or,et al. A Discriminative Approach for Wavelet Denoising , 2008, IEEE Transactions on Image Processing.
[15] Marshall F. Tappen,et al. Learning non-local range Markov Random field for image restoration , 2011, CVPR 2011.
[16] Yair Weiss,et al. From learning models of natural image patches to whole image restoration , 2011, 2011 International Conference on Computer Vision.
[17] Jean-Michel Morel,et al. A non-local algorithm for image denoising , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[18] Alexander J. Smola,et al. Learning high-order MRF priors of color images , 2006, ICML.
[19] Elsa D. Angelini,et al. An Unbiased Risk Estimator for Image Denoising in the Presence of Mixed Poisson–Gaussian Noise , 2014, IEEE Transactions on Image Processing.
[20] Peyman Milanfar,et al. Is Denoising Dead? , 2010, IEEE Transactions on Image Processing.
[21] Max Welling Donald,et al. Products of Experts , 2007 .
[22] Adrian Barbu,et al. Training an Active Random Field for Real-Time Image Denoising , 2009, IEEE Transactions on Image Processing.
[23] Ling Shao,et al. Nonlocal Hierarchical Dictionary Learning Using Wavelets for Image Denoising , 2013, IEEE Transactions on Image Processing.
[24] E. Nadaraya. On Estimating Regression , 1964 .
[25] Peyman Milanfar,et al. Global Image Denoising , 2014, IEEE Transactions on Image Processing.
[26] Martin J. Wainwright,et al. Image denoising using scale mixtures of Gaussians in the wavelet domain , 2003, IEEE Trans. Image Process..
[27] Richard Szeliski,et al. Automatic Estimation and Removal of Noise from a Single Image , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Lei Zhang,et al. Nonlocally Centralized Sparse Representation for Image Restoration , 2013, IEEE Transactions on Image Processing.
[29] Jiaya Jia,et al. Using optical defocus to denoise , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[30] David L. Donoho,et al. De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.
[31] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[32] Yann LeCun,et al. Learning Fast Approximations of Sparse Coding , 2010, ICML.
[33] Michael J. Black,et al. Fields of Experts: a framework for learning image priors , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[34] Horst Bischof,et al. Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration , 2013, GCPR.
[35] Guillermo Sapiro,et al. Non-local sparse models for image restoration , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[36] Yasuyuki Matsushita,et al. Noise suppression in low-light images through joint denoising and demosaicing , 2011, CVPR 2011.