Detection of Seam-Carving Image Based on Benford's Law for Forensic Applications-Reference-Cited by-同舟云学术

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

Published:2020 Issue: Volume: Page:39-48
ISSN:
Container-title:Digital Forensics and Forensic Investigations
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Author:

Sheng Guorui¹,Gao Tiegang²

Affiliation:

1. School on Information and Electronical Engineering, Ludong University, Yantai, China

2. College of Software, Information Security Technology Lab, Nankai University, Tianjin, China

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.

Publisher

IGI Global

Reference14 articles.

1. A SIFT-based forensic method for copy–move attack detection and transformation recovery.;I.Amerini;IEEE Transactions on,2011

2. Copy-move forgery detection and localization by means of robust clustering with J-Linkage

3. Seam carving for content-aware image resizing.;S.Avidan;ACM Transactions on Graphics,2007

4. Fillion, C., & Sharma, G. (2010). Detecting content adaptive scaling of images for forensic applications. Proceedings of Media Forensics and Security II IS&T/SPIE Electronic Imaging, San Jose, CA, USA, LNCS (Vol. 4283, pp. 177-187).

5. J., Soukal, B.D., & Lukáš, A.J. (;A.Fridrich;Proceedings of Digital Forensic Research Workshop,2003)