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SPL
2016

ACE-An Effective Anti-forensic Contrast Enhancement Technique

7 years 11 months ago
ACE-An Effective Anti-forensic Contrast Enhancement Technique
—Detecting Contrast Enhancement (CE) in images and anti-forensic approaches against such detectors have gained much attention in multimedia forensics lately. Several contrast enhancement detectors analyze the first order statistics such as gray-level histogram of images to determine whether an image is CE or not. In order to counter these detectors various antiforensic techniques have been proposed. This led to a technique that utilized second order statistics of images for CE detection. In this paper, we propose an effective anti-forensic approach that performs CE without significant distortion in both the first and second order statistics of the enhanced image. We formulate an optimization problem using a variant of the well known Total Variation (TV) norm image restoration formulation. Experiments show that the algorithm effectively overcomes the first and second order statistics based detectors without loss in quality of the enhanced image.
Hareesh Ravi, A. V. Subramanyam, Sabu Emmanuel
Added 10 Apr 2016
Updated 10 Apr 2016
Type Journal
Year 2016
Where SPL
Authors Hareesh Ravi, A. V. Subramanyam, Sabu Emmanuel
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