Error Level Analysis

Error Level Analysis is a digital image forensic technique that identifies discrepancies in compression levels across an image by analyzing variations in quantization artifacts, thereby revealing regions that have been altered or inserted at different compression stages.

103

Publications

9.4K

Citations

248

Authors

150

Institutions

Publications per year

2017–2026

40

Authors

248

  1. JC
    Jinde Cao

    Southeast University, China

    4 publications · 505 citations

    4

    h-index

  2. DL
    David L. DeMets

    University of Wisconsin–Madison, United States

    2 publications · 3.4K citations

    2

    h-index

  3. KK
    K. K. Gordon Lan

    National Heart Lung and Blood Institute, United States

    2 publications · 3.4K citations

    2

    h-index

  4. FQ
    Feng Qian

    East China University of Science and Technology, China

    2 publications · 262 citations

    2

    h-index

  5. JH
    Joel Huber

    Duke University, United States

    2 publications · 1.5K citations

    2

    h-index

1–5 of 248

Venues

  1. Biometrika

    3 publications · 3.4K citations

    3

    h-index

  2. Journal of Marketing Research

    2 publications · 1.5K citations

    2

    h-index

  3. Applied Sciences

    2 publications · 53 citations

    2

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5