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Detection of Seam-Carving Image Based on Benford's Law for Forensic Applications

Detection of Seam-Carving Image Based on Benford's Law for Forensic Applications

Guorui Sheng, Tiegang Gao
Copyright: © 2016 |Volume: 8 |Issue: 1 |Pages: 11
ISSN: 1941-6210|EISSN: 1941-6229|EISBN13: 9781466690240|DOI: 10.4018/IJDCF.2016010104
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MLA

Sheng, Guorui, and Tiegang Gao. "Detection of Seam-Carving Image Based on Benford's Law for Forensic Applications." IJDCF vol.8, no.1 2016: pp.51-61. http://doi.org/10.4018/IJDCF.2016010104

APA

Sheng, G. & Gao, T. (2016). Detection of Seam-Carving Image Based on Benford's Law for Forensic Applications. International Journal of Digital Crime and Forensics (IJDCF), 8(1), 51-61. http://doi.org/10.4018/IJDCF.2016010104

Chicago

Sheng, Guorui, and Tiegang Gao. "Detection of Seam-Carving Image Based on Benford's Law for Forensic Applications," International Journal of Digital Crime and Forensics (IJDCF) 8, no.1: 51-61. http://doi.org/10.4018/IJDCF.2016010104

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Abstract

Seam-Carving is widely used for content-aware image resizing. To cope with the digital image forgery caused by Seam-Carving, a new detecting algorithm based on Benford's law is presented. The algorithm utilize the probabilities of the first digits of quantized DCT coefficients from individual AC modes to detect Seam-Carving images. The experimental result shows that the performance of proposed method is better than that of the method based on traditional Markov features and other existing methods.

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