Enhancing Image Quality by Reducing Compression Artifacts Using Dynamic Window Swin Transformer
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada
2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China
Funder
Natural Sciences and Engineering Research Council of Canada and TELUS Communications Inc
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/5503868/10578329/10508045.pdf?arnumber=10508045
Reference49 articles.
1. Medical image restoration with different types of noise
2. Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM
3. Image Super-Resolution Via Iterative Refinement
4. Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution
5. Compression Artifacts Reduction by a Deep Convolutional Network
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1. Guest Editorial Advances in Generative Visual Signal Coding and Processing;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2024-06
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