Fast Single Image Super-Resolution via Self-Example Learning and Sparse Representation
暂无分享,去创建一个
Zhiliang Zhu | Chen Chen | Hai Yu | Fangda Guo | Zhiliang Zhu | Hai Yu | Fangda Guo | Cheng Chen
[1] Thomas S. Huang,et al. Efficient sparse representation based image super resolution via dual dictionary learning , 2011, 2011 IEEE International Conference on Multimedia and Expo.
[2] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[3] Shuyuan Yang,et al. Novel Super Resolution Restoration of Remote Sensing Images Based on Compressive Sensing and Example Patches-Aided Dictionary Learning , 2011, 2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping.
[4] Chen Chen,et al. Spectral-Spatial Classification of Hyperspectral Image Based on Kernel Extreme Learning Machine , 2014, Remote. Sens..
[5] Na Fan,et al. Super-Resolution Using Regularized Orthogonal Matching Pursuit Based on Compressed Sensing Theory in the Wavelet Domain , 2009, 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization.
[6] Takeo Kanade,et al. Limits on super-resolution and how to break them , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[7] Michal Irani,et al. Super-resolution from a single image , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[8] Andrew Zisserman,et al. Super-resolution from multiple views using learnt image models , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[9] Christopher M. Bishop,et al. Bayesian Image Super-Resolution , 2002, NIPS.
[10] Liangpei Zhang,et al. Multiframe Super-Resolution Employing a Spatially Weighted Total Variation Model , 2012, IEEE Transactions on Circuits and Systems for Video Technology.
[11] W.C. Ogle,et al. Independent sample mean squared error for adaptive detection statistics , 2005, 2005 IEEE Aerospace Conference.
[12] Joseph F. Murray,et al. Learning Sparse Overcomplete Codes for Images , 2006, J. VLSI Signal Process..
[13] Chen Chen,et al. Single-image super-resolution using multihypothesis prediction , 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[14] Takeo Kanade,et al. Limits on Super-Resolution and How to Break Them , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[15] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[16] Michael Elad,et al. On Single Image Scale-Up Using Sparse-Representations , 2010, Curves and Surfaces.
[17] Chen Chen,et al. Spectral–Spatial Preprocessing Using Multihypothesis Prediction for Noise-Robust Hyperspectral Image Classification , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[18] Michael Elad,et al. Fast and robust multiframe super resolution , 2004, IEEE Transactions on Image Processing.
[19] Zongxu Pan,et al. Super-Resolution Based on Compressive Sensing and Structural Self-Similarity for Remote Sensing Images , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[20] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[21] Lei Zhang,et al. Nonlocally Centralized Sparse Representation for Image Restoration , 2013, IEEE Transactions on Image Processing.
[22] D. Donoho. For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution , 2006 .
[23] Mei Han,et al. Soft Edge Smoothness Prior for Alpha Channel Super Resolution , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Moon Gi Kang,et al. Super-resolution image reconstruction: a technical overview , 2003, IEEE Signal Process. Mag..
[25] Jorge Núñez,et al. Super-Resolution of Remotely Sensed Images With Variable-Pixel Linear Reconstruction , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[26] William T. Freeman,et al. Example-Based Super-Resolution , 2002, IEEE Computer Graphics and Applications.
[27] Thomas S. Huang,et al. Image Super-Resolution Via Sparse Representation , 2010, IEEE Transactions on Image Processing.
[28] Noriaki Suetake,et al. Image super-resolution based on local self-similarity , 2008 .
[29] Alan C. Bovik,et al. Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures , 2009, IEEE Signal Processing Magazine.
[30] Xuelong Li,et al. Image Super-Resolution With Sparse Neighbor Embedding , 2012, IEEE Transactions on Image Processing.
[31] Chen Chen,et al. Reconstruction of Hyperspectral Imagery From Random Projections Using Multihypothesis Prediction , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[32] Xuelong Li,et al. Multi-scale dictionary for single image super-resolution , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Xuelong Li,et al. Joint Learning for Single-Image Super-Resolution via a Coupled Constraint , 2012, IEEE Transactions on Image Processing.
[34] Takeo Kanade,et al. Hallucinating faces , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[35] Chen Chen,et al. Compressed-sensing recovery of images and video using multihypothesis predictions , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[36] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[37] Michael Elad,et al. Efficient Implementation of the K-SVD Algorithm using Batch Orthogonal Matching Pursuit , 2008 .