Single image super-resolution with non-local balanced low-rank matrix restoration

2016 23rd International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr.2016.7899809 ◽

2016 ◽

Author(s):

Xinge You ◽

Weiyong Xue ◽

Jiajia Lei ◽

Peng Zhang ◽

Yiu-ming Cheung ◽

...

Keyword(s):

Super Resolution ◽

Low Rank ◽

Single Image ◽

Rank Matrix ◽

Non Local ◽

Image Super Resolution ◽

Single Image Super Resolution ◽

Low Rank Matrix

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A single-image super-resolution method via low-rank matrix recovery and nonlinear mappings

2013 IEEE International Conference on Image Processing ◽

10.1109/icip.2013.6738131 ◽

2013 ◽

Author(s):

Xiaoxuan Chen ◽

Chun Qi

Keyword(s):

Super Resolution ◽

Low Rank ◽

Single Image ◽

Resolution Method ◽

Matrix Recovery ◽

Rank Matrix ◽

Image Super Resolution ◽

Single Image Super Resolution ◽

Low Rank Matrix Recovery ◽

Low Rank Matrix

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Single image super-resolution via self-similarity and low-rank matrix recovery

Multimedia Tools and Applications ◽

10.1007/s11042-017-5098-7 ◽

2017 ◽

Vol 77 (12) ◽

pp. 15181-15199

Author(s):

Hong Wang ◽

Jianwu Li ◽

Zhengchao Dong

Keyword(s):

Super Resolution ◽

Low Rank ◽

Single Image ◽

Self Similarity ◽

Matrix Recovery ◽

Rank Matrix ◽

Image Super Resolution ◽

Single Image Super Resolution ◽

Low Rank Matrix Recovery ◽

Low Rank Matrix

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Enhanced Non-Local Total Variation Model and Multi-Directional Feature Prediction Prior for Single Image Super Resolution

IEEE Transactions on Image Processing ◽

10.1109/tip.2019.2902794 ◽

2019 ◽

Vol 28 (8) ◽

pp. 3778-3793 ◽

Author(s):

Chao Ren ◽

Xiaohai He ◽

Yifei Pu ◽

Truong Q. Nguyen

Keyword(s):

Total Variation ◽

Super Resolution ◽

Single Image ◽

Total Variation Model ◽

Non Local ◽

Image Super Resolution ◽

Single Image Super Resolution ◽

Variation Model

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Single image super-resolution using regularization of non-local steering kernel regression

Signal Processing ◽

10.1016/j.sigpro.2015.11.025 ◽

2016 ◽

Vol 123 ◽

pp. 53-63 ◽

Author(s):

Kaibing Zhang ◽

Xinbo Gao ◽

Jie Li ◽

Hongxing Xia

Keyword(s):

Kernel Regression ◽

Super Resolution ◽

Single Image ◽

Non Local ◽

Image Super Resolution ◽

Single Image Super Resolution

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Single-image super-resolution reconstruction based on global non-zero gradient penalty and non-local Laplacian sparse coding

Digital Signal Processing ◽

10.1016/j.dsp.2013.11.013 ◽

2014 ◽

Vol 26 ◽

pp. 101-112 ◽

Author(s):

Jinming Li ◽

Weiguo Gong ◽

Weihong Li ◽

Feiyu Pan

Keyword(s):

Sparse Coding ◽

Super Resolution ◽

Single Image ◽

Non Local ◽

Image Super Resolution ◽

Single Image Super Resolution

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LR2-SR: Laplacian Regularized Low-Rank Sparse Representation for Single Image Super-Resolution

2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM) ◽

10.1109/bigmm.2018.8499082 ◽

2018 ◽

Author(s):

Wenming Yang ◽

Xuesen Shang ◽

Kaiquan Chen ◽

Shuifa Sun

Keyword(s):

Sparse Representation ◽

Super Resolution ◽

Low Rank ◽

Single Image ◽

Image Super Resolution ◽

Single Image Super Resolution

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Single Image Super Resolution Using Local and Non-local Priors

Advances in Multimedia Information Processing – PCM 2018 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00767-6_25 ◽

2018 ◽

pp. 264-273

Author(s):

Tianyi Li ◽

Kan Chang ◽

Caiwang Mo ◽

Xueyu Zhang ◽

Tuanfa Qin

Keyword(s):

Super Resolution ◽

Single Image ◽

Non Local ◽

Image Super Resolution ◽

Single Image Super Resolution

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Data-adaptive low-rank modeling and external gradient prior for single image super-resolution

Signal Processing ◽

10.1016/j.sigpro.2019.03.011 ◽

2019 ◽

Vol 161 ◽

pp. 36-49 ◽

Author(s):

Kan Chang ◽

Xueyu Zhang ◽

Pak Lun Kevin Ding ◽

Baoxin Li

Keyword(s):

Super Resolution ◽

Low Rank ◽

Single Image ◽

Image Super Resolution ◽

Data Adaptive ◽

Single Image Super Resolution

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Multi-layer strategy and reconstruction model with low rank and local rank regularizations for single image super-resolution

Signal Processing Image Communication ◽

10.1016/j.image.2017.05.014 ◽

2017 ◽

Vol 57 ◽

pp. 197-210 ◽

Author(s):

Weiguo Gong ◽

Qiane Yi ◽

Yongliang Tang ◽

Weihong Li

Keyword(s):

Super Resolution ◽

Low Rank ◽

Single Image ◽

Image Super Resolution ◽

Single Image Super Resolution ◽

Reconstruction Model ◽

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Single image super-resolution via low-rank tensor representation and hierarchical dictionary learning

Multimedia Tools and Applications ◽

10.1007/s11042-019-08259-9 ◽

2020 ◽

Vol 79 (17-18) ◽

pp. 11767-11785 ◽

Author(s):

Peiguang Jing ◽

Weili Guan ◽

Xu Bai ◽

Hongbin Guo ◽

Yuting Su

Keyword(s):

Dictionary Learning ◽

Super Resolution ◽

Low Rank ◽

Single Image ◽

Tensor Representation ◽

Rank Tensor ◽

Image Super Resolution ◽

Single Image Super Resolution

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