A sliding window-based analysis is a prevailing mechanism for tampering localization in
passive image authentication. It uses existing forensic detectors, originally designed for a full-
frame analysis, to obtain the detection scores for individual image regions. One of the main
problems with a window-based analysis is its impractically low localization resolution
stemming from the need to use relatively large analysis windows. While decreasing the
window size can improve the localization resolution, the classification results tend to …

A sliding window-based analysis is most influencing mechanism for tampering localization
in passive image authentication. Using existing forensic detectors, primarily designed for a
full-frame analysis, to obtain the detection scores for each image region. The main problem
with a window based analysis is its impractically low localization resolution stemming from
the need to use large analysis windows. This project addresses to investigate a multi-scale
analysis approach that joins multiple tampering maps, resulting from the analysis with …