Multi-Scale Fusion for Improved Localization of Malicious Tampering in Digital Images

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Paweł Korus, Jiwu Huang

Abstract

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 become unreliable due to insufficient statistics about the relevant forensic features. In this paper, we investigate a multi-scale analysis approach that fuses multiple candidate tampering maps, resulting from the analysis with different windows, to obtain a single, more reliable tampering map with better localization resolution. We propose three different techniques for multi-scale fusion, and verify their feasibility against various reference strategies. We consider a popular tampering scenario with mode-based first digit features to distinguish between singly and doubly compressed regions. Our results clearly indicate that the proposed fusion strategies can successfully combine the benefits of s...Continue Reading

References

Mar 4, 2005·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yuri Boykov, Vladimir Kolmogorov
Feb 2, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Heinz H BauschkeNicholas R Swart
Nov 30, 2012·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Paweł Korus, Andrzej Dziech
Sep 24, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yuan-Kai Wang, Ching-Tang Fan
Mar 26, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Saeed Sarreshtedari, Mohammad Ali Akhaee

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Citations

May 23, 2018·Forensic Science International : Synergy·Peng SunSilong Peng

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