Welcome to the InfoSci Platform
Image Forensics Using Generalised Benford’s Law for Improving Image Authentication Detection Rates in Semi-Fragile Watermarking

Image Forensics Using Generalised Benford’s Law for Improving Image Authentication Detection Rates in Semi-Fragile Watermarking

Xi Zhao, Anthony T.S. Ho, Yun Q. Shi
Copyright: © 2012 |Pages: 17
ISBN13: 9781466617582|ISBN10: 1466617586|EISBN13: 9781466617599
DOI: 10.4018/978-1-4666-1758-2.ch004
Cite Chapter Cite Chapter

MLA

Zhao, Xi, et al. "Image Forensics Using Generalised Benford’s Law for Improving Image Authentication Detection Rates in Semi-Fragile Watermarking." Crime Prevention Technologies and Applications for Advancing Criminal Investigation, edited by Chang-Tsun Li and Anthony T.S. Ho, IGI Global, 2012, pp. 36-52. https://doi.org/10.4018/978-1-4666-1758-2.ch004

APA

Zhao, X., Ho, A. T., & Shi, Y. Q. (2012). Image Forensics Using Generalised Benford’s Law for Improving Image Authentication Detection Rates in Semi-Fragile Watermarking. In C. Li & A. Ho (Eds.), Crime Prevention Technologies and Applications for Advancing Criminal Investigation (pp. 36-52). IGI Global. https://doi.org/10.4018/978-1-4666-1758-2.ch004

Chicago

Zhao, Xi, Anthony T.S. Ho, and Yun Q. Shi. "Image Forensics Using Generalised Benford’s Law for Improving Image Authentication Detection Rates in Semi-Fragile Watermarking." In Crime Prevention Technologies and Applications for Advancing Criminal Investigation, edited by Chang-Tsun Li and Anthony T.S. Ho, 36-52. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1758-2.ch004

Export Reference

Mendeley
Favorite

Abstract

In the past few years, semi-fragile watermarking has become increasingly important to verify the content of images and localise the tampered areas, while tolerating some non-malicious manipulations. In the literature, the majority of semi-fragile algorithms have applied a predetermined threshold to tolerate errors caused by JPEG compression. However, this predetermined threshold is typically fixed and cannot be easily adapted to different amounts of errors caused by unknown JPEG compression at different quality factors (QFs). In this paper, the authors analyse the relationship between QF and threshold, and propose the use of generalised Benford’s Law as an image forensics technique for semi-fragile watermarking. The results show an overall average QF correct detection rate of approximately 99%, when 5%, 20% and 30% of the pixels are subjected to image content tampering and compression using different QFs (ranging from 95 to 65). In addition, the authors applied different image enhancement techniques to these test images. The proposed image forensics method can adaptively adjust the threshold for images based on the estimated QF, improving accuracy rates in authenticating and localising the tampered regions for semi-fragile watermarking.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.