Enhancing High-Resolution Image Compression Through Local-Global Joint Attention Mechanism-Reference-Cited by-同舟云学术

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Enhancing High-Resolution Image Compression Through Local-Global Joint Attention Mechanism

Published:2024 Issue: Volume:31 Page:1044-1048
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Jiang Zeyu¹^ORCID,Liu Xiaohong²^ORCID,Li Aini³^ORCID,Wang Guangyu¹^ORCID

Affiliation:

1. State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

2. UCL Cancer Institute, University College London, London, U.K.

3. Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen, China

Funder

National Natural Science Foundation of China

New Cornerstone Science Foundation

XPLORER PRIZE

Young Elite Scientists Sponsorship Program by CAST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/97/10380231/10487886.pdf?arnumber=10487886

Reference28 articles.

1. Overview on Machine Learning in Image Compression Techniques

2. The JPEG still picture compression standard

3. The JPEG 2000 still image compression standard

4. A Comparative Study on Lossless compression mode in WebP, Better Portable Graphics (BPG), and JPEG XL Image Compression Algorithms

5. A novel high-efficiency holography image compression method, based on HEVC, Wavelet, and nearest-neighbor interpolation

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