LRI: A low rank approach to non-local sparse representation for image interpolation

2016 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2016.7727582 ◽

2016 ◽

Author(s):

Mingli Zhang ◽

Qiang Qu ◽

Sadegh Nobari ◽

Christian Desrosiers

Keyword(s):

Sparse Representation ◽

Image Interpolation ◽

Low Rank ◽

Non Local ◽

Local Sparse Representation

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Non-local sparse representation for hyperspectral image super-resolution

2016 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2016.7532876 ◽

2016 ◽

Author(s):

Renwei Dian ◽

Shutao Li ◽

Leyuan Fang

Keyword(s):

Sparse Representation ◽

Hyperspectral Image ◽

Super Resolution ◽

Non Local ◽

Image Super Resolution ◽

Local Sparse Representation

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Image Fusion for Spatial Enhancement of Hyperspectral Image via Pixel Group Based Non-Local Sparse Representation

Remote Sensing ◽

10.3390/rs9010053 ◽

2017 ◽

Vol 9 (1) ◽

pp. 53 ◽

Author(s):

Jing Yang ◽

Ying Li ◽

Jonathan Chan ◽

Qiang Shen

Keyword(s):

Image Fusion ◽

Sparse Representation ◽

Hyperspectral Image ◽

Non Local ◽

Local Sparse Representation ◽

Spatial Enhancement

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When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation

2019 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2019.8802960 ◽

2019 ◽

Author(s):

Lantao Yu ◽

Michael T. Orchard

Keyword(s):

Image Interpolation ◽

Low Rank ◽

Local Similarity ◽

Single Image ◽

Variant Filtering ◽

Non Local ◽

Spatially Variant

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SAR Target Recognition via Local Sparse Representation of Multi-Manifold Regularized Low-Rank Approximation

Remote Sensing ◽

10.3390/rs10020211 ◽

2018 ◽

Vol 10 (2) ◽

pp. 211 ◽

Author(s):

◽

◽

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Keyword(s):

Sparse Representation ◽

Target Recognition ◽

Low Rank ◽

Low Rank Approximation ◽

Rank Approximation ◽

Local Sparse Representation ◽

Sar Target Recognition

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Non-Local Sparse Representation Method for Demosaicing of Single DoFP Polarimetric Image

2020 12th International Conference on Communication Software and Networks (ICCSN) ◽

10.1109/iccsn49894.2020.9139054 ◽

2020 ◽

Author(s):

Ruinan Wang ◽

Wei Gao ◽

Fengtao Wang ◽

Chao Shen

Keyword(s):

Sparse Representation ◽

Non Local ◽

Representation Method ◽

Local Sparse Representation

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Gesture recognition based on an improved local sparse representation classification algorithm

Cluster Computing ◽

10.1007/s10586-017-1237-1 ◽

2017 ◽

Vol 22 (S5) ◽

pp. 10935-10946 ◽

Author(s):

Yang He ◽

Gongfa Li ◽

Yajie Liao ◽

Ying Sun ◽

Jianyi Kong ◽

...

Keyword(s):

Sparse Representation ◽

Gesture Recognition ◽

Classification Algorithm ◽

Sparse Representation Classification ◽

Local Sparse Representation

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Cluster-based image super-resolution via jointly low-rank and sparse representation

Journal of Visual Communication and Image Representation ◽

10.1016/j.jvcir.2016.02.015 ◽

2016 ◽

Vol 38 ◽

pp. 175-185 ◽

Author(s):

Ningning Han ◽

Zhanjie Song ◽

Ying Li

Keyword(s):

Sparse Representation ◽

Super Resolution ◽

Low Rank ◽

Image Super Resolution

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Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2014.2321557 ◽

2015 ◽

Vol 53 (1) ◽

pp. 296-308 ◽

Author(s):

Yong-Qiang Zhao ◽

Jingxiang Yang

Keyword(s):

Sparse Representation ◽

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

Rank Constraint

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Hyperspectral image denoising based on global and non-local low-rank factorizations

2017 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2017.8296612 ◽

2017 ◽

Author(s):

Lina Zhuang ◽

Jose M. Bioucas-Dias

Keyword(s):

Image Denoising ◽

Hyperspectral Image ◽

Low Rank ◽

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Non-local Low-rank Point Cloud Denoising for 3D Measurement Surfaces

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3139686 ◽

2022 ◽

pp. 1-1

Author(s):

Dingkun Zhu ◽

Honghua Chen ◽

Weiming Wang ◽

Haoran Xie ◽

Gary Cheng ◽

...

Keyword(s):

Point Cloud ◽

Low Rank ◽

3D Measurement ◽

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