Image Matting

Image Matting is a computational technique in image processing that belongs to the class of pixel-level image editing methods, distinguished by its ability to estimate the fractional contribution of foreground and background colors at each pixel to enable accurate extraction of soft transitions such as hair or transparent objects from natural scenes.

268

Publications

29.9K

Citations

715

Authors

242

Institutions

Publications per year

2017–2026

112

Variants

Alpha Matting

Authors

715

  1. CT
    Chi–Keung Tang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    13 publications · 2.1K citations

    13

    h-index

  2. JW
    Jue Wang

    Adobe Systems (United States), United States

    13 publications · 2.3K citations

    12

    h-index

  3. CR
    Christoph Rhemann

    Microsoft Research (United Kingdom), United Kingdom

    9 publications · 1.1K citations

    9

    h-index

  4. HS
    Heung‐Yeung Shum

    Microsoft Research Asia (China), China

    9 publications · 1.5K citations

    9

    h-index

  5. MF
    Michael F. Cohen

    Microsoft (United States), United States

    9 publications · 1.8K citations

    9

    h-index

1–5 of 715

Venues

  1. ACM Transactions on Graphics

    TOG · 16 publications · 2.8K citations

    16

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 12 publications · 8.3K citations

    12

    h-index

  3. IEEE Transactions on Image Processing

    13 publications · 643 citations

    12

    h-index

  4. arXiv (Cornell University)

    Repository · 12 publications · 243 citations

    11

    h-index

  5. 9

    h-index

1–5