Sparse Representation Based Super-Resolution of MRI Images with Non-Local Total Variation Regularization

Lecture Notes in Computer Science - Pattern Recognition and Machine Intelligence ◽

10.1007/978-3-030-34872-4_9 ◽

2019 ◽

pp. 78-86 ◽

Author(s):

Bhabesh Deka ◽

Helal Uddin Mullah ◽

Sumit Datta ◽

Vijaya Lakshmi ◽

Rajarajeswari Ganesan

Keyword(s):

Sparse Representation ◽

Total Variation ◽

Super Resolution ◽

Total Variation Regularization ◽

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Sparse Representation based Super-Resolution of MRI Images with Non-Local Total Variation Regularization

SN Computer Science ◽

10.1007/s42979-020-00269-x ◽

2020 ◽

Vol 1 (5) ◽

Author(s):

Bhabesh Deka ◽

Helal Uddin Mullah ◽

Sumit Datta ◽

Vijaya Lakshmi ◽

Rajarajeswari Ganesan

Keyword(s):

Sparse Representation ◽

Total Variation ◽

Super Resolution ◽

Total Variation Regularization ◽

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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 depth map super-resolution: A self-structured sparsity representation with non-local total variation technique

2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) ◽

10.1109/intelcis.2017.8260025 ◽

2017 ◽

Author(s):

Doaa A. Altantawy ◽

Ahmed I. Saleh ◽

Sherif Kishk

Keyword(s):

Total Variation ◽

Super Resolution ◽

Depth Map ◽

Structured Sparsity ◽

Non Local ◽

Variation Technique

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Noise Removal Super-resolution for Camera Images Utilizing Total Variation Regularization Method

2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech) ◽

10.1109/lifetech48969.2020.1570619113 ◽

2020 ◽

Author(s):

Shogo Terai ◽

Tomio Goto

Keyword(s):

Total Variation ◽

Regularization Method ◽

Super Resolution ◽

Noise Removal ◽

Total Variation Regularization

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Analytical Low-Dose CBCT Reconstruction Using Non-local Total Variation Regularization for Image Guided Radiation Therapy

Frontiers in Oncology ◽

10.3389/fonc.2020.00242 ◽

2020 ◽

Vol 10 ◽

Author(s):

James J. Sohn ◽

Changsoo Kim ◽

Dong Hyun Kim ◽

Seu-Ran Lee ◽

Jun Zhou ◽

...

Keyword(s):

Radiation Therapy ◽

Total Variation ◽

Low Dose ◽

Total Variation Regularization ◽

Image Guided Radiation Therapy ◽

Image Guided ◽

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Super-resolution utilizing Total Variation regularization on CELL processor

2012 IEEE International Conference on Consumer Electronics (ICCE) ◽

10.1109/icce.2012.6162055 ◽

2012 ◽

Author(s):

Y. Sakuta ◽

A. Tsutsui ◽

T. Goto ◽

M. Sakurai ◽

R. Sakai

Keyword(s):

Total Variation ◽

Super Resolution ◽

Total Variation Regularization ◽

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Non-local anisotropic total variation based super resolution

10.1117/12.2203155 ◽

2015 ◽

Author(s):

Fei Xiao ◽

Guangwei Wang ◽

Jinwen Tian

Keyword(s):

Total Variation ◽

Super Resolution ◽

Non Local ◽

Anisotropic Total Variation

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Super resolution image reconstruction using total variation regularization and learning-based method

2010 IEEE International Conference on Image Processing ◽

10.1109/icip.2010.5649059 ◽

2010 ◽

Author(s):

Akihiro Yoshikawa ◽

Shotaro Suzuki ◽

Tomio Goto ◽

Satoshi Hirano ◽

Masaru Sakurai

Keyword(s):

Image Reconstruction ◽

Total Variation ◽

Super Resolution ◽

Total Variation Regularization ◽

Resolution Image

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Vectorial non-local total variation regularization for calibration-free parallel MRI reconstruction

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) ◽

10.1109/isbi.2015.7164102 ◽

2015 ◽

Author(s):

Stamatios Lefkimmiatis ◽

Andres Saucedo ◽

Stanley Osher ◽

Kyunghyun Sung

Keyword(s):

Total Variation ◽

Total Variation Regularization ◽

Parallel Mri ◽

Non Local ◽

Mri Reconstruction ◽

Calibration Free ◽

Parallel Mri Reconstruction

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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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