Effective composite image detection method based on feature inconsistency of image components

•Feature inconsistency of image components is used to obtain tampering detection.•The proposed method can obtain accurate tampered regions in composite images.•Image-component-based composite image detection is first proposed. This paper proposes an effective composite image detection method that us...

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Bibliographic Details
Published inDigital signal processing Vol. 39; pp. 50 - 62
Main Authors Hu, Wu-Chih, Dai, Jing-Siou, Jian, Jhih-Syuan
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.04.2015
Subjects
Composite image
Feature inconsistency
Image component
Sensor pattern noise
Tampering detection
Feature inconsistency
Sensor pattern noise
Tampering detection
Image component
Composite image
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Summary:•Feature inconsistency of image components is used to obtain tampering detection.•The proposed method can obtain accurate tampered regions in composite images.•Image-component-based composite image detection is first proposed. This paper proposes an effective composite image detection method that uses the feature inconsistency of image components of the composite image to detect tampered regions. The composite image is first divided into image components. Next, the variance of the noise remaining after de-noising in each image component is calculated and used as a feature. Finally, tampered regions are detected using this feature based on a tampering detection rule. Experimental results show that the proposed method has good composite image detection performance.
ISSN:1051-2004
1095-4333
DOI:10.1016/j.dsp.2015.01.006