A DCT-domain system for robust image watermarking
Signal Processing
Improved estimation for just-noticeable visual distortion
Signal Processing
Resolution and quality scalable spread spectrum image watermarking
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
Spatio-temporal just noticeable distortion profile for grey scale image/video in DCT domain
IEEE Transactions on Circuits and Systems for Video Technology
Image quality monitoring using spread spectrum watermarking
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Image watermarking based on invariant regions of scale-space representation
IEEE Transactions on Signal Processing
IEEE Transactions on Information Forensics and Security
A wavelet visible difference predictor
IEEE Transactions on Image Processing
Improved wavelet-based watermarking through pixel-wise masking
IEEE Transactions on Image Processing
Estimating Just-Noticeable Distortion for Video
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
An efficient robust watermarking method integrated in H.264/SVC
Transactions on Data Hiding and Multimedia Security VII
Hi-index | 0.00 |
This paper proposes a scalable and credible watermarking algorithm towards Scalable Video Coding (SVC) which aims to build Copyright Protection System (CPS). Firstly, we investigate where to embed watermark to ensure it can be detected in base layer as well as enhancement layer and what does wavelet Just Noticeable Distortion (JND) for video consist of, then a model that combines frequency masking, contrast masking, luminance adaption and temporal masking has been proposed. Finally whether watermark exists or not can be judged by adaptive detection which guarantees the proposed method has a good legal credibility, since its False Alarm Rate (FAR) closes to zero. The scalability and credibility of the proposed method is examined on JSVM (the H.264/MPEG-4 AVC scalable video extension) platform.