Separation Masking
Separation Masking is a computational technique in color separation that selectively isolates specific color components from an image by applying region-specific binary or probabilistic masks to suppress undesired spectral contributions while preserving chromatic fidelity in targeted areas.
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Publications
228
Citations
15
Authors
7
Institutions
Publications per year
2017–2026
0
Parents
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The effect of perceived spatial separation on informational masking of Chinese speech
Xihong Wu, Chun Wang, Jing Chen et al. · Hearing Research · 2004 · 71 citations
Ken I. McAnally, Robert S. Bolia, Russell L. Martin et al. · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2002 · 11 citations
1–5 of 4
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University at Buffalo, State University of New York, United States
1 publications · 63 citations
1
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1
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1
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1
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1–5 of 15
7

Peking University
Beijing, China
1 h-index
7 publications
497 citations
Sabancı Üniversitesi
Istanbul, Türkiye
1 h-index
2 publications
164 citations
University at Buffalo, State University of New York
Buffalo, United States
1 h-index
3 publications
189 citations

University of Toronto
Toronto, Canada
1 h-index
2 publications
142 citations

University of Cincinnati
Cincinnati, United States
1 h-index
3 publications
36 citations
University of Connecticut
Storrs, United States
1 h-index
3 publications
189 citations

City College of San Francisco
San Francisco, United States
1 h-index
3 publications
189 citations
Defence Science and Technology Group
Canberra, Australia
1 publications
11 citations
1–8 of 7
1 publications · 12 citations
1
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1 publications · 63 citations
1
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1 publications · 71 citations
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1 publications · 11 citations
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