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中国物理学会期刊

基于主分量分析法的小波域三维目标序列图像隐藏技术

CSTR: 32037.14.aps.60.034203

Sequence images hiding technique of three-dimensional object based on principal component analysis in wavelet domain

CSTR: 32037.14.aps.60.034203
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  • 针对在一幅载体图像中隐藏三维目标序列图像的问题,本文利用主分量分析法获取三维目标的本征图像,将本征图像的小波域系数嵌入到载体图像的小波域系数中,利用分解系数和提取得到的本征图像重构出三维目标的系列图像.本文所提出的方法不是直接存储目标图像,而是存储能够反映三维目标特征的一组本征图像.研究结果表明,该方法有效地将三维目标的特征隐藏在了载体图像中,隐藏信息量大.

     

    In order to hide sequence images of 3D object in a carrying image, eigenimages are obtained by using principal component analysis method. Wavelet coefficients of eigenimages are embedded into the wavelet domain of the carrying image. Based on the relationship of extracted eigenimages and coefficients, a series of images are reconstructed. The proposed method does not store the object images directly, but store the eigenimages which contain information of the 3D object. The experimental results show that the features of 3D object are effectively embedded into the carrying image, and the proposed algorithm has a high capacity.

     

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