基于阴影检测模型的图像拼接盲取证

doi:10.3969/j.issn.0255-8297.2016.05.009

Abstract

Abstract:

Image splicing is a common type of forgery that takes some objects from other images. Splicing is hard to be detected for lack of references. When the objects have shadows, fake shadows are often created to conceal the tampering. A blind forensic method to detect spliced image based on a shadow model is proposed. The method is based on the fact that a natural shadow contains certain features absent in a fake shadow. A shadow model suitable for image forensics is established. Shadows are extracted and located by using an algorithm of image region dilation. A robust shadow scale factor is then obtained by using an energy minimization method, and interfering points removed. Thus, fake shadows can be determined from abnormal values of the shadow scale factor. Experiment results show effectiveness of the proposed method.

Key words: information security, shadow scale factor, image blind forensic, splicing forensic, shadow detection

CLC Number:

TP309

YANG Bin, CHEN Xian-yi, HU Wei-feng. Blind Detection of Image Splicing Based on Shadow Model[J]. Journal of Applied Sciences, 2016, 34(5): 564-574.

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Blind Detection of Image Splicing Based on Shadow Model

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