基于完整上下文预测的可逆数据隐藏  

Reversible Data Hiding Based on Full Context Prediction

作　　者：罗剑高[1] 韩国强[2] 

机构地区：[1]广东农工商职业技术学院计算机系,广州510507 [2]华南理工大学计算机科学与工程学院,广州510006

出　　处：《计算机科学》2013年第11A期219-223,共5页Computer Science

基　　金：国家自然科学基金项目(61070090;61003270);国家自然科学基金广东省联合基金项目(U1035004);广东省重大科技专项基金(2010A080402005)资助

摘　　要：提出一种非线性、自适应、基于完整上下文的梯度调整预测算子FCGAP。FCGAP适用于图像可逆数据隐藏算法。在FCGAP中,目标像素的预测值等于4邻域像素值的加权平均,加权系数由与目标像素最近距离的12近邻确定。采用FCGAP,提出一种高容量低失真的可逆数据隐藏算法。实验结果表明,FCGAP能充分利用上下文信息,提高像素预测精度,基于FCGAP提出的可逆数据隐藏算法相比已有可逆数据隐藏算法具有更好的容量-失真性能。We propose a nonlinear, adaptive, gradient-adjusted predictor based on full context （FCOAP）. FCGAP is suitable for reversible image data hiding. In FCA3AP, the predicted value of target pixel is equal to the weighted average of 4 neighborhood pixels, and the weighted coefficients are computed by 12 nearest neighbor pixels. Based on FCGAP, a reversible data hiding is proposed, which can provide high data embedding capacity and low distortion. Experimental resuits demonstrate that FCGAP can more fully utilize context information, and has better prediction accuracy of pixels than other predictors;the reversible data hiding based on FCGAP has better capacity-distortion performance compared with other state-of-the-art algoritlmas.

关 键 词：可逆数据隐藏 无损数据隐藏 可逆图像水印 预测误差扩展 完整上下文预测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]