Improved Embedding for Prediction-Based Reversible Watermarking

Authors:
D. Coltuc
Affiliations:
Dept. of Electr. & Electron. Eng., Valahia Univ. Targoviste, Targoviste, Romania
Venue:
IEEE Transactions on Information Forensics and Security - Part 2
Year:
2011

Citing 0
Cited 9

Controversy Corner: Reversible data hiding of high payload using local edge sensing prediction

Journal of Systems and Software
Reversible image watermarking on prediction errors by efficient histogram modification

Signal Processing
Intelligent reversible watermarking and authentication: Hiding depth map information for 3D cameras

Information Sciences: an International Journal
High-fidelity reversible data hiding scheme based on pixel-value-ordering and prediction-error expansion

Signal Processing
Non-Integer expansion embedding for prediction-based reversible watermarking

IH'12 Proceedings of the 14th international conference on Information Hiding
Context embedding for raster-scan rhombus based reversible watermarking

Proceedings of the first ACM workshop on Information hiding and multimedia security
Reversible data hiding scheme for color image based on prediction-error expansion and cross-channel correlation

Signal Processing
Reversible watermarking scheme for medical image based on differential evolution

Expert Systems with Applications: An International Journal
A high capacity reversible data hiding scheme based on generalized prediction-error expansion and adaptive embedding

Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper aims at reducing the embedding distortion of prediction error expansion reversible watermarking. Instead of embedding the entire expanded difference into the current pixel, the difference is split between the current pixel and its prediction context. The modification of the context generates an increase of the following prediction errors. Global optimization is obtained by tuning the amount of data embedded into context pixels. Prediction error expansion reversible watermarking schemes based on median edge detector (MED), gradient-adjusted predictor (GAP), and a simplified GAP version, SGAP, are investigated. Improvements are obtained for all the predictors. Notably good results are obtained for SGAP-based schemes. The improved SGAP appears to outperform GAP-based reversible watermarking.