DPAN: A Deep Light-Weight Attention-Based Image Super Resolution Network Using Multi-Dimensional Filter Design Technique-Reference-Cited by-同舟云学术

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DPAN: A Deep Light-Weight Attention-Based Image Super Resolution Network Using Multi-Dimensional Filter Design Technique

Published:2023 Issue: Volume:30 Page:1637-1641
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Esmaeilzehi Alireza¹^ORCID,Zaredar Hossein²^ORCID,Hatzinakos Dimitrios¹^ORCID,Ahmad M. Omair³^ORCID

Affiliation:

1. The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada

2. Department of Computer Engineering, Amirkabir University of Technology, Tehran, Iran

3. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/10036333/10288397.pdf?arnumber=10288397

Reference38 articles.

1. A Direction-Decoupled Non-Local Attention Network for Single Image Super-Resolution

2. Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding

3. Multi-Granularity Aggregation Transformer for Light Field Image Super-Resolution

4. Adam: A method for stochastic optimization;kingma,2014

5. Efficient Image Super-Resolution Using Pixel Attention

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NL-CS Net: Deep Learning with Non-local Prior for Image Compressive Sensing;Circuits, Systems, and Signal Processing;2024-05-09

2. SeqESR-GAN-Based Sparse Data Augmentation for Distribution Networks;IEEE Transactions on Industrial Informatics;2024

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