Multiscale Image Representation
Multiscale Image Representation is a computational imaging framework that characterizes visual information across multiple spatial scales by decomposing an image into hierarchical layers, each capturing structural details at a distinct resolution, thereby enabling efficient analysis of spatial frequency content in natural and synthetic scenes.
602
Publications
48.1K
Citations
1.7K
Authors
743
Institutions
Publications per year
2017–2026
187
Parents
602
Edge-preserving decompositions for multi-scale tone and detail manipulation
Zeev Farbman, Raanan Fattal, Dani Lischinski et al. · ACM Transactions on Graphics · 2008 · 1.5K citations
Arts, Visualization, Computer Vision +16
Scale-space filtering: A new approach to multi-scale description
Andrew Witkin · 2005 · 1.1K citations
1–5 of 602
1.7K
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743

Centre National de la Recherche Scientifique
Paris, France
17 h-index
47 publications
3.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
15 h-index
30 publications
3.2K citations

Xidian University
Xi'an, China
13 h-index
43 publications
2.2K citations
Stanford University
Stanford, United States
12 h-index
25 publications
2.3K citations
Wuhan University
Wuhan, China
11 h-index
33 publications
2.1K citations
New York University
New York, United States
10 h-index
13 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
9 h-index
24 publications
1.2K citations
University of California, Berkeley
Berkeley, United States
9 h-index
16 publications
1.5K citations
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41 publications · 4.1K citations
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27 publications · 2.4K citations
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20 publications · 827 citations
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TPAMI · 16 publications · 2K citations
14
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TOG · 11 publications · 2.2K citations
11
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