Identification of splicing edges in tampered image based on Dichromatic Reflection Model

• URL: http://arxiv.org/abs/2004.04317v1
• Date: Thu, 9 Apr 2020 01:25:28 GMT
• Title: Identification of splicing edges in tampered image based on Dichromatic Reflection Model
• Authors: Zhe Shen, Peng Sun, Yubo Lang, Lei Liu, Silong Peng
• Abstract summary: manipulation against an original image will destroy these signatures and inevitably leave some traces in the final forgery. We present a novel optic-physical method to discriminate splicing edges from natural edges in a tampered image.
• Score: 11.757875734469398
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Imaging is a sophisticated process combining a plenty of photovoltaic conversions, which lead to some spectral signatures beyond visual perception in the final images. Any manipulation against an original image will destroy these signatures and inevitably leave some traces in the final forgery. Therefore we present a novel optic-physical method to discriminate splicing edges from natural edges in a tampered image. First, we transform the forensic image from RGB into color space of S and o1o2. Then on the assumption of Dichromatic Reflection Model, edges in the image are discovered by composite gradient and classified into different types based on their different photometric properties. Finally, splicing edges are reserved against natural ones by a simple logical algorithm. Experiment results show the efficacy of the proposed method.

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