Splicing Detection

Splicing Detection is a digital image forensic technique that identifies whether an image has been composited by joining regions from two or more separate source images, thereby distinguishing it from other forms of image manipulation through the analysis of inconsistencies in physical, statistical, or sensor-based features at the splice boundaries.

244

Publications

15K

Citations

734

Authors

313

Institutions

Publications per year

2017–2026

146

Authors

734

  1. BX
    Bin Xiao

    Chongqing University of Posts and Telecommunications, China

    8 publications · 538 citations

    8

    h-index

  2. HA
    Hamid A. Jalab

    University of Malaya, Malaysia

    7 publications · 205 citations

    7

    h-index

  3. SC
    Shih‐Fu Chang

    Columbia University, United States

    7 publications · 752 citations

    7

    h-index

  4. WL
    Wei Lu

    Sun Yat-sen University, China

    6 publications · 524 citations

    6

    h-index

  5. PB
    Paolo Bestagini

    Politecnico di Milano, Italy

    6 publications · 126 citations

    6

    h-index

1–5 of 734

Venues

  1. Multimedia Tools and Applications

    21 publications · 1K citations

    15

    h-index

  2. 9

    h-index

  3. IEEE Access

    6 publications · 241 citations

    6

    h-index

  4. arXiv (Cornell University)

    Repository · 6 publications · 124 citations

    6

    h-index

  5. Electronics

    5 publications · 222 citations

    5

    h-index

1–5