Single Satellite Imagery Superresolution Based on Hybrid Nonlocal Similarity Constrained Convolution Sparse Coding

[1]  Brendt Wohlberg,et al.  Efficient convolutional sparse coding , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[2]  Fernando A. Quintana,et al.  Nonparametric Bayesian data analysis , 2004 .

[3]  Truong Q. Nguyen,et al.  Enhanced Non-Local Total Variation Model and Multi-Directional Feature Prediction Prior for Single Image Super Resolution , 2019, IEEE Transactions on Image Processing.

[4]  Yun Fu,et al.  Image Super-Resolution Using Very Deep Residual Channel Attention Networks , 2018, ECCV.

[5]  Zetao Jiang,et al.  Single Image Super-Resolution: Depthwise Separable Convolution Super-Resolution Generative Adversarial Network , 2020 .

[6]  Junjun Jiang,et al.  Edge-Enhanced GAN for Remote Sensing Image Superresolution , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Zhenghua Zhou,et al.  Single image super-resolution based on adaptive convolutional sparse coding and convolutional neural networks , 2019, J. Vis. Commun. Image Represent..

[8]  Jean Ponce,et al.  Task-Driven Dictionary Learning , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Shuiping Gou,et al.  Remote Sensing Image Super-Resolution Reconstruction Based on Nonlocal Pairwise Dictionaries and Double Regularization , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[10]  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.

[11]  Leon Wenliang Zhong,et al.  Fast Stochastic Alternating Direction Method of Multipliers , 2013, ICML.

[12]  Stephen Lin,et al.  Super resolution using edge prior and single image detail synthesis , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[13]  Jong Beom Ra,et al.  Example-Based Super-Resolution via Structure Analysis of Patches , 2013, IEEE Signal Processing Letters.

[14]  Xuelong Li,et al.  A Unified Learning Framework for Single Image Super-Resolution , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[15]  Xi Chen,et al.  Single-Image Super-Resolution Algorithm Based on Structural Self-Similarity and Deformation Block Features , 2019, IEEE Access.

[16]  Zongxu Pan,et al.  Super-Resolution of Single Remote Sensing Image Based on Residual Dense Backprojection Networks , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Chih-Yuan Yang,et al.  Single-Image Super-Resolution: A Benchmark , 2014, ECCV.

[18]  Narendra Ahuja,et al.  Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[19]  Zhiliang Zhu,et al.  Fast Single Image Super-Resolution via Self-Example Learning and Sparse Representation , 2014, IEEE Transactions on Multimedia.

[20]  Shuyuan Yang,et al.  Convolution Structure Sparse Coding for Fusion of Panchromatic and Multispectral Images , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[21]  Miguel R. D. Rodrigues,et al.  Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries , 2017, IEEE Transactions on Computational Imaging.

[22]  Andrea Vedaldi,et al.  MatConvNet: Convolutional Neural Networks for MATLAB , 2014, ACM Multimedia.

[23]  Audrey Giremus,et al.  A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images , 2019, IEEE Access.

[24]  Jianwei Zhao,et al.  Image super-resolution via adaptive sparse representation and self-learning , 2018, IET Comput. Vis..

[25]  Ajmal S. Mian,et al.  Bayesian sparse representation for hyperspectral image super resolution , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[26]  Lei Zhang,et al.  Centralized sparse representation for image restoration , 2011, 2011 International Conference on Computer Vision.

[27]  David Zhang,et al.  FSIM: A Feature Similarity Index for Image Quality Assessment , 2011, IEEE Transactions on Image Processing.

[28]  Yong-qiang Yang,et al.  Research on the single image super-resolution method based on sparse Bayesian estimation , 2018, Cluster Computing.

[29]  Dinggang Shen,et al.  Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image , 2015, Patch-MI@MICCAI.

[30]  Alan C. Bovik,et al.  Image information and visual quality , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[31]  Gustavo de Veciana,et al.  An information fidelity criterion for image quality assessment using natural scene statistics , 2005, IEEE Transactions on Image Processing.

[32]  Guillermo Sapiro,et al.  Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations , 2009, NIPS.

[33]  Lei Zhang,et al.  Nonlocally Centralized Sparse Representation for Image Restoration , 2013, IEEE Transactions on Image Processing.

[34]  Lawrence Carin,et al.  A Bayesian Nonparametric Approach to Image Super-Resolution , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[35]  Jean-Michel Morel,et al.  A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..

[36]  Thomas S. Huang,et al.  Image Super-Resolution Via Sparse Representation , 2010, IEEE Transactions on Image Processing.

[37]  Li Li,et al.  Fusion of Hyperspectral and Multispectral Images Based on a Bayesian Nonparametric Approach , 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[38]  Biao Hou,et al.  Adaptive Super-Resolution for Remote Sensing Images Based on Sparse Representation With Global Joint Dictionary Model , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[39]  Jen-Hui Chuang,et al.  Image super-resolution by estimating the enhancement weight of self example and external missing patches , 2017, Multimedia Tools and Applications.

[40]  Fang Liu,et al.  Semi-Coupled Convolutional Sparse Learning for Image Super-Resolution , 2019, Remote. Sens..

[41]  David B Dunson,et al.  Nonparametric Bayesian models through probit stick-breaking processes. , 2011, Bayesian analysis.

[42]  Peng Liu,et al.  Deep Differential Convolutional Network for Single Image Super-Resolution , 2019, IEEE Access.

[43]  Lei Zhang,et al.  Convolutional Sparse Coding for Image Super-Resolution , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[44]  Lei Wang,et al.  Remote Sensing Image Super-Resolution Using Sparse Representation and Coupled Sparse Autoencoder , 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[45]  Thomas S. Huang,et al.  Robust Single Image Super-Resolution via Deep Networks With Sparse Prior , 2016, IEEE Transactions on Image Processing.

[46]  Chen Chen,et al.  Image Reconstruction via Manifold Constrained Convolutional Sparse Coding for Image Sets , 2017, IEEE Journal of Selected Topics in Signal Processing.

[47]  Junfeng Yang,et al.  A New Alternating Minimization Algorithm for Total Variation Image Reconstruction , 2008, SIAM J. Imaging Sci..