Fractional-order sparse representation for image denoising
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Yilong Yin | Zexuan Ji | Leilei Geng | Yunhao Yuan | Yilong Yin | Leilei Geng | Zexuan Ji | Yunhao Yuan
[1] Ke Lu,et al. An improved fractional-order differentiation model for image denoising , 2015, Signal Process..
[2] Michael Elad,et al. Image Denoising Via Learned Dictionaries and Sparse representation , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[3] Kostadin Dabov,et al. BM3D Image Denoising with Shape-Adaptive Principal Component Analysis , 2009 .
[4] Stephen J. Wright,et al. Computational Methods for Sparse Solution of Linear Inverse Problems , 2010, Proceedings of the IEEE.
[5] Michael Elad,et al. From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images , 2009, SIAM Rev..
[6] Lei Zhang,et al. Nonlocally Centralized Sparse Representation for Image Restoration , 2013, IEEE Transactions on Image Processing.
[7] Guangming Shi,et al. Image Restoration via Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian Scale Mixture , 2015, International Journal of Computer Vision.
[8] Peyman Milanfar,et al. Clustering-Based Denoising With Locally Learned Dictionaries , 2009, IEEE Transactions on Image Processing.
[9] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[10] Ning Xu,et al. Image denoising via sparse representation using rotational dictionary , 2014, J. Electronic Imaging.
[11] Xavier Bresson,et al. Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction , 2010, SIAM J. Imaging Sci..
[12] Michael Elad,et al. Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model , 2013, IEEE Transactions on Signal Processing.
[13] Michael Elad,et al. Improving K-SVD denoising by post-processing its method-noise , 2013, 2013 IEEE International Conference on Image Processing.
[14] Lishan Qiao,et al. A general non-local denoising model using multi-kernel-induced measures , 2014, Pattern Recognit..
[15] Gene H. Golub,et al. Matrix computations , 1983 .
[16] Yi-Fei Pu,et al. Fractional Differential Mask: A Fractional Differential-Based Approach for Multiscale Texture Enhancement , 2010, IEEE Transactions on Image Processing.
[17] Michael Elad,et al. L1-L2 Optimization in Signal and Image Processing , 2010, IEEE Signal Processing Magazine.
[18] Quan-Sen Sun,et al. Fractional-order embedding canonical correlation analysis and its applications to multi-view dimensionality reduction and recognition , 2014, Pattern Recognit..
[19] J. Miguel Sanches,et al. Image reconstruction under multiplicative speckle noise using total variation , 2015, Neurocomputing.
[20] Thomas S. Huang,et al. Coupled Dictionary Training for Image Super-Resolution , 2012, IEEE Transactions on Image Processing.
[21] Stanley Osher,et al. Image Super-Resolution by TV-Regularization and Bregman Iteration , 2008, J. Sci. Comput..
[22] Roberto Mecca,et al. Fractional-order diffusion for image reconstruction , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).