Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
Reversible data hiding using integer wavelet transform and companding technique
IWDW'04 Proceedings of the Third international conference on Digital Watermarking
Reversible watermark with large capacity using the predictive coding
ICICS'05 Proceedings of the 7th international conference on Information and Communications Security
The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS
IEEE Transactions on Image Processing
Reversible watermark using the difference expansion of a generalized integer transform
IEEE Transactions on Image Processing
Lossless generalized-LSB data embedding
IEEE Transactions on Image Processing
Reversible data embedding into images using wavelet techniques and sorting
IEEE Transactions on Image Processing
Expansion Embedding Techniques for Reversible Watermarking
IEEE Transactions on Image Processing
Reversible data embedding using a difference expansion
IEEE Transactions on Circuits and Systems for Video Technology
Reversible data hiding using additive prediction-error expansion
Proceedings of the 11th ACM workshop on Multimedia and security
A New Approach in Reversible Watermarking
IWDW '09 Proceedings of the 8th International Workshop on Digital Watermarking
An efficient prediction-and-shifting embedding technique for high quality reversible data hiding
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Reversible data hiding with context modeling, generalized expansion and boundary map
Multimedia Tools and Applications
Journal of Systems and Software
| Hi-index | 0.00 |
A reversible watermark algorithm with large capacity has been developed by applying the difference expansion of a generalized integer transform. In this algorithm, a watermark signal is inserted in the LSB of the difference values among pixels. In this paper, we apply the prediction errors calculated by a predictor in JPEG-LS for embedding watermark, which contributes to increase the amount of embedded information with less degradation. As one of the drawbacks discovered in the above conventional method is the large size of the embedded location map introduced to make it reversible, we decrease the large size of the location map by vectorization, and then modify the composition of the map using the local characteristics. We also exclude the positions such that the modification in the embedding operation cannot increase the capacity but merely degrade the image quality, which can be applicable to the conventional methods.