Abstract
Histogram based forensic techniques to detect contrast enhancement, after an initial success, became unreliable due to the development of targeted anti-forensic attacks. These attacks eliminate statistical footprints left by enhancement on the histogram, making the image modifications undetectable. Further, these techniques in-spite of being successful in making histograms of the enhanced image appear more natural, they themselves introduce anomalies in the spatial domain. This paper presents a novel algorithm that, for the first time, exploits the statistical anomalies through the Laplace modeling of the derivative histogram to detect the anti-forensic contrast enhancement. Experimental results demonstrate that the proposed algorithm is effective in detecting contrast enhancements executed both by regular as well as anti-forensics techniques.
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Bharathiraja S, Rajesh Kanna B Anti-Forensics Contrast Enhancement Detection (AFCED) Technique in Images Based on Laplace Derivative Histogram. Mobile Netw Appl 24, 1174–1180 (2019). https://doi.org/10.1007/s11036-019-01255-1
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DOI: https://doi.org/10.1007/s11036-019-01255-1