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.

4

Publications

228

Citations

15

Authors

7

Institutions

Publications per year

2017–2026

0

Authors

15

  1. SI
    Sue I. Cox

    University of Cincinnati, United States

    2 publications · 75 citations

    2

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  2. NW
    Naomi Weisstein

    University at Buffalo, State University of New York, United States

    1 publications · 63 citations

    1

    h-index

  3. RG
    Ronald Growney

    University of Connecticut, United States

    1 publications · 63 citations

    1

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  4. CW
    Chun Wang

    University of Minnesota, United States

    1 publications · 71 citations

    1

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  5. XW
    Xihong Wu

    Peking University, China

    1 publications · 71 citations

    1

    h-index

1–5 of 15

Venues

  1. Psychonomic Science

    1 publications · 12 citations

    1

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  2. Vision Research

    1 publications · 63 citations

    1

    h-index

  3. Hearing Research

    1 publications · 71 citations

    1

    h-index

1–4