Reversible watermark with large capacity using the predictive coding

Authors:
Minoru Kuribayashi;Masakatu Morii;Hatsukazu Tanaka
Affiliations:
Department of Electrical and Electronics Engineering, Faculty of Engineering, Kobe University, Kobe, Japan;Department of Electrical and Electronics Engineering, Faculty of Engineering, Kobe University, Kobe, Japan;Kobe Institute of Computing, Kobe, Japan
Venue:
ICICS'05 Proceedings of the 7th international conference on Information and Communications Security
Year:
2005

Citing 5
Cited 1

Information Hiding Techniques for Steganography and Digital Watermarking

Information Hiding Techniques for Steganography and Digital Watermarking
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 using a difference expansion

IEEE Transactions on Circuits and Systems for Video Technology

Reversible Watermark with Large Capacity Based on the Prediction Error Expansion

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Quantified Score

Hi-index	0.00

Visualization

Abstract

A reversible watermarking 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 a watermark signal, which contributes to increase the amount of embedded information with less degradation. As one of the drawbacks discovered in the above conventional method is a 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 characteristic in order to enhance the performance of JBIG2.