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Indexed by:期刊论文

Date of Publication:2016-01-01

Journal:International Journal of Network Security

Included Journals:EI

Volume:18

Issue:4

Page Number:750-757

ISSN No.:1816353X

Abstract:Prediction-error expansion (PEE) is an important reversible data hiding technique, which can hide large messages into digital media with little distortion. In this paper, we propose a nearest neighborhood pixel prediction algorithm (NNP2) for reversible data hiding algorithms based on Chinese Remainder Theorem (CRT), in which a rhombus prediction is applied in NNP2, and prediction errors, the difference between pixels and predictions, are modified to embed data. Further, CRT is utilized to adjust the modification size, thus embedding several bits into one embeddable pixel. Laplacian-like distribution of prediction errors is exploited to achieve a trade-offbetween embedding capacity and visual quality. Experimental results demonstrate that the NNP2achieves better embedding capacity with thesame stego image quality than the conventional methods.