Image-based Tone Mapping

Image-Based Tone Mapping is a tone mapping method that derives its parameters and adaptation strategies directly from the spatial and luminance characteristics of the input image, distinguishing itself from global or display-oriented approaches by leveraging image-specific content to guide the compression of high dynamic range data into a viewable range.

28

Publications

1.2K

Citations

94

Authors

46

Institutions

Publications per year

2017–2026

14

Authors

94

  1. MD
    Michael D. Tocci

    North Carolina State University, United States

    2 publications · 371 citations

    2

    h-index

  2. CK
    Chris Kiser

    University of New Mexico, United States

    2 publications · 371 citations

    2

    h-index

  3. PS
    Pradeep Sen

    University of California, Santa Barbara, United States

    2 publications · 371 citations

    2

    h-index

  4. NT
    Nora Tocci

    University of New Mexico, United States

    2 publications · 371 citations

    2

    h-index

  5. ZD
    Zhiyong Duan

    Zhengzhou University, China

    1 publications · 12 citations

    1

    h-index

1–5 of 94

Venues

  1. The Visual Computer

    4 publications · 242 citations

    4

    h-index

  2. Signal Processing Image Communication

    2 publications · 43 citations

    2

    h-index

  3. 2

    h-index

  4. Signal Processing

    2 publications · 32 citations

    2

    h-index

  5. Information Sciences

    1 publications · 12 citations

    1

    h-index

1–5