Error Resilient Deep Compressive Sensing-Reference-Cited by-同舟云学术

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Error Resilient Deep Compressive Sensing

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:The 11th International Symposium on Information and Communication Technology
language:
Short-container-title:

Author:

Nguyen Canh Thuong¹^ORCID,Van Chien Trinh²^ORCID,Bui Van Quyet³^ORCID

Affiliation:

1. Institute for Datability Science, Osaka University, Japan

2. School of Information and Communication Technology, Hanoi University of Science and Technology, Viet Nam

3. Faculty of Information Technology, Hanoi University of Civil Engineering, Vietnam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3568562.3568662

Reference22 articles.

1. Block-based compressed sensing of images via deep learning

2. Multi-scale/multi-resolution Kronecker compressive imaging

3. Decomposition-based multiscale compressed sensing

4. Thuong Nguyen Canh and Byeungwoo Jeon . 2018 . Deep learning-based Kronecker compressive imaging . In IEEE International Conference on Consumer Electronic-Asia (ICCE-A). 1–4. Thuong Nguyen Canh and Byeungwoo Jeon. 2018. Deep learning-based Kronecker compressive imaging. In IEEE International Conference on Consumer Electronic-Asia (ICCE-A). 1–4.

5. Thuong Nguyen Canh and Byeungwoo Jeon . 2018. Multi-scale deep compressive sensing network. In 2018 IEEE Visual Communications and Image Processing (VCIP) . IEEE , 1–4. Thuong Nguyen Canh and Byeungwoo Jeon. 2018. Multi-scale deep compressive sensing network. In 2018 IEEE Visual Communications and Image Processing (VCIP). IEEE, 1–4.

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