Distributed Image Compression
Distributed Image Compression is a computational framework within image coding that enables the compression of visual data captured by multiple correlated sources without requiring them to communicate with one another during encoding, relying instead on joint decoding to exploit inter-source redundancy.
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1.5K
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103
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53
Institutions
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2017–2026
8
Variants
Distributed Source Coding For Images
Parents
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Distributed compression for large camera arrays
Xiaoqing Zhu, A. Aaron, Bernd Girod · 2003 · 80 citations
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Imperial College London
London, United Kingdom
8 h-index
17 publications
400 citations
University of California, Berkeley
Berkeley, United States
6 h-index
14 publications
480 citations
Stanford University
Stanford, United States
4 h-index
13 publications
512 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
4 h-index
7 publications
177 citations
Microsoft Research Asia (China)
Beijing, China
3 h-index
8 publications
237 citations

Laboratoire d'Informatique Fondamentale de Lille
Villeneuve-d'Ascq, France
2 h-index
2 publications
54 citations
University of Science and Technology of China
Hefei, China
2 h-index
2 publications
57 citations

Xidian University
Xi'an, China
2 h-index
4 publications
114 citations
1–8 of 53
5 publications · 131 citations
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3 publications · 138 citations
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WCMC · 1 publications · 31 citations
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1 publications · 82 citations
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1 publications · 27 citations
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