Reliable embedding for robust reversible watermarking

Authors:
Lingling An;Xinbo Gao;Cheng Deng
Affiliations:
Xidian University, Xi'an, China;Xidian University, Xi'an, China;Xidian University, Xi'an, China
Venue:
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Year:
2010

Citing 7
Cited 3

A local Tchebichef moments-based robust image watermarking

Signal Processing
Reversibility improved lossless data hiding

Signal Processing
Optimum Histogram Pair Based Image Lossless Data Embedding

Transactions on Data Hiding and Multimedia Security IV
Reversible Watermarking Based on Statistical Quantity Histogram

PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Circular interpretation of bijective transformations in lossless watermarking for media asset management

IEEE Transactions on Multimedia
A Semi-Fragile Lossless Digital Watermarking Scheme Based on Integer Wavelet Transform

IEEE Transactions on Circuits and Systems for Video Technology
Robust Lossless Image Data Hiding Designed for Semi-Fragile Image Authentication

IEEE Transactions on Circuits and Systems for Video Technology

Robust lossless data hiding using clustering and statistical quantity histogram

Neurocomputing
Content-adaptive reliable robust lossless data embedding

Neurocomputing
Robust reversible watermarking scheme using Slantlet transform matrix

Journal of Systems and Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

It has been demonstrated that De. Vleeschouwer's histogram rotation (HR) scheme suffers from serious "salt-and-pepper" noise in the watermarked images. Recently, some improved methods are proposed to handle this problem. However they are at the cost of capacity. For this purpose, we first develop a reliable histogram rotation method based on block selection (RHR-BS) to avoid the flipping of pixels and to improve the invisibility and reversibility of HR. In view of a little reduction of capacity in RHR-BS, a reliable HR method based on pixel adjustment (RHR-PA) is then proposed, which modulates the range of grayscale values of pixels to remove the "salt-and-pepper" noise in HR, and to avoid the decrease of capacity in RHR-BS. Extensive experiments are conducted to show the effectiveness of the proposed RHR-BS and RHR-PA.