Guided Filtering

Guided Filtering is an edge-preserving image smoothing operator that uses a guidance image to influence the filtering of an input image, thereby distinguishing itself from generic linear filters by adaptively adjusting filter coefficients based on local statistical properties derived from the guidance signal.

195

Publications

13.7K

Citations

669

Authors

275

Institutions

Publications per year

2017–2026

131

Authors

669

  1. ZL
    Zhengguo Li

    Institute for Infocomm Research, Singapore

    5 publications · 1.1K citations

    5

    h-index

  2. SW
    Shiqian Wu

    Wuhan University of Science and Technology, China

    4 publications · 629 citations

    4

    h-index

  3. JM
    Jiayi Ma

    Wuhan University, China

    3 publications · 201 citations

    3

    h-index

  4. SL
    Shuaiqi Liu

    Hebei University, China

    3 publications · 155 citations

    3

    h-index

  5. KH
    Kaiming He

    Meta (Israel), Israel

    3 publications · 5.5K citations

    3

    h-index

1–5 of 669

Venues

  1. IEEE Transactions on Image Processing

    13 publications · 1.6K citations

    13

    h-index

  2. Remote Sensing

    8 publications · 293 citations

    8

    h-index

  3. Multimedia Tools and Applications

    6 publications · 218 citations

    6

    h-index

  4. Signal Processing

    6 publications · 178 citations

    6

    h-index

  5. IEEE Access

    6 publications · 173 citations

    6

    h-index

1–5