Lossless data embedding--new paradigm in digital watermarking
EURASIP Journal on Applied Signal Processing - Emerging applications of multimedia data hiding
Watermarking applications and their properties
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
A Contrast-Sensitive Visible Watermarking Scheme
IEEE MultiMedia
An improved block dependent fragile image watermark
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
HDWT-based grayscale watermark for copyright protection
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Reversible data hiding exploiting spatial correlation between sub-sampled images
Pattern Recognition
A Semi-fragile Image Watermarking Resisting to JPEG Compression
ICMECG '09 Proceedings of the 2009 International Conference on Management of e-Commerce and e-Government
A contrast-sensitive reversible visible image watermarking technique
IEEE Transactions on Circuits and Systems for Video Technology
Generic lossless visible watermarking: a new approach
IEEE Transactions on Image Processing
Embedding capacity raising in reversible data hiding based on prediction of difference expansion
Journal of Systems and Software
Reversible data hiding based on block median preservation
Information Sciences: an International Journal
Attacking visible watermarking schemes
IEEE Transactions on Multimedia
Expansion Embedding Techniques for Reversible Watermarking
IEEE Transactions on Image Processing
Reference Sharing Mechanism for Watermark Self-Embedding
IEEE Transactions on Image Processing
Reversible data embedding using a difference expansion
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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This paper proposes a novel visible watermarking scheme that is based on dynamic images and preserves context integrity. In our approach, the watermark is divided into many sub-watermarks, and then we utilize the visible watermark method to hide the sub-watermarks into difference images. When the dynamic image with the hidden watermark is done, the human visual system perceives that the watermark has integrity because of the persistence of human vision. Some verified information, including hash value, recovered data and remaining watermark, is used to maintain the image context and prevent tampering with the image. Moreover, our approach utilizes the histogram-based lossless data embedding scheme to completely recover the image context. Owing to the characteristics of lossless data hiding, the visible watermark can be completely removed, and the extracted data can be investigated. Accordingly, not only the image context is not changed but also no part of image quality is destroyed since the watermark is hidden and extracted.