Image Background Suppression

Image Background Suppression is a computational technique in image processing that selectively attenuates or removes background elements in an image while preserving salient foreground structures, distinguished from general background reduction methods by its focused emphasis on suppressing non-essential background regions through targeted enhancement of foreground-background contrast.

401

Publications

20.5K

Citations

1.6K

Authors

579

Institutions

Publications per year

2017–2026

137

Authors

1.6K

  1. DC
    David C. Alsop

    Beth Israel Deaconess Medical Center, United States

    7 publications · 740 citations

    7

    h-index

  2. MJ
    Matthias J.P. van Osch

    Leiden University Medical Center, Netherlands

    6 publications · 472 citations

    6

    h-index

  3. DG
    Dwight G. Nishimura

    Stanford University, United States

    5 publications · 218 citations

    5

    h-index

  4. JH
    Jinhui Han

    Zhoukou Normal University, China

    5 publications · 753 citations

    5

    h-index

  5. PG
    Peng Gao

    Xi'an Institute of Optics and Precision Mechanics, China

    4 publications · 194 citations

    4

    h-index

1–5 of 1.6K

Venues

  1. Magnetic Resonance in Medicine

    MRM · 33 publications · 2.2K citations

    21

    h-index

  2. Journal of Magnetic Resonance Imaging

    JMRI · 18 publications · 538 citations

    15

    h-index

  3. 11

    h-index

  4. 11

    h-index

  5. IEEE Geoscience and Remote Sensing Letters

    GRSL · 8 publications · 915 citations

    8

    h-index

1–5