Journal of Mathematical Imaging and Vision
IAS '07 Proceedings of the Third International Symposium on Information Assurance and Security
A Semi-Fragile Lossless Digital Watermarking Scheme Based on Integer Wavelet Transform
IEEE Transactions on Circuits and Systems for Video Technology
A novel multi-size block benford's law scheme for printer identification
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
| Hi-index | 0.00 |
In the past few years, semi-fragile watermarking has become increasingly important as it can be used to verify the content of images and to 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) applied to the watermarked images. In this paper, we 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, to accurately detect the unknown QF of the images. The results obtained show an overall average QF correct detection rate of approximately 99% when 5% of the pixels are subjected to image content tampering, as well as compression using different QFs (ranging from 95 to 65). Consequently, our proposed image forensics method can adaptively adjust the threshold for images based on the estimated QF, therefore, improving the accuracy rates in authenticating and localising the tampered regions for semi-fragile watermarking.