International Journal of Advanced Media and Communication
Content-Adaptive Robust Image Watermarking with Posterior HMM-Based Detector
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Adaptive embedding tolerance based on motion characteristics for imperceptible video watermarking
IMSA '07 Proceedings of the Eleventh IASTED International Conference on Internet and Multimedia Systems and Applications
Improvement to a semi-fragile watermarking scheme against a proposed counterfeiting attack
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
Robustness enhancement of content-based watermarks using entropy masking effect
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
A video watermarking procedure based on XML documents
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
| Hi-index | 0.00 |
Inserting maximal allowable transparent watermark, which in turn is extremely hard to attack with common image processing operations, is important aspect of watermark design. We present a new watermark design tool for digital images and digital videos that are based on human visual system (HVS) characteristics. In this tool, basic mechanisms of inhibitory andexcitatory behaviour of HVS cells are used to determine image dependent upper bound values on watermark insertion. This allows us to insert maximal allowable transparent watermark, which in turn is extremely hard to attack with common image processing, Motion Picture Experts Group (MPEG) compression. As the number of image details (e.g. edges) increases in an image, the HVS decreases its sensitivity to the image details. Similarly, the HVS decreases its sensitivity to the object motions as the number of motion increases in a video signal. We model this decreased sensitivity to the image details and object motions as an entropy masking. Entropy masking model can be efficiently used to increase the robustness of image and video watermarks. We have shown that our entropy-masking model provides watermark scheme with increased transparency and henceforth increased robustness.