Histogram-based Transfer Functions
Histogram-Based Transfer Functions is a transfer function design method that employs the data histogram as the genus to inform opacity and color mappings, differentiating itself by leveraging the distribution of scalar values to automatically identify and emphasize prominent features through opacity assignment based on frequency.
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892
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29
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16
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2017–2026
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Real-time user-guided image colorization with learned deep priors
Richard Zhang, Jun-Yan Zhu, Phillip Isola et al. · ACM Transactions on Graphics · 2017 · 563 citations
Visibility-driven transfer functions
Carlos D. Correa, Kwan‐Liu Ma · 2009 · 50 citations
Stroke-Based Transfer Function Design
Timo Ropinski, Jörg-Stefan Praßni, Frank Steinicke et al. · Eurographics · 2008 · 43 citations · Full text
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Barcelona Media
Barcelona, Spain
1 h-index
1 publications
66 citations
Ben-Gurion University of the Negev
Beersheba, Israel
1 h-index
3 publications
90 citations
Centre de Recherche en Mathématiques de la Décision
Paris, France
1 h-index
2 publications
24 citations

Université Paris Sciences et Lettres
Paris, France
1 h-index
2 publications
24 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
2 publications
30 citations
University of Münster
Münster, Germany
1 h-index
4 publications
172 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
3 publications
45 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
2 publications
24 citations
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Repository · 2 publications · 45 citations
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1 publications · 12 citations
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1 publications · 66 citations
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Repository · 1 publications · 43 citations
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1 publications · 68 citations
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