9 November 2010 The application of principal component analysis in sequence image hiding
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Abstract
In this paper, a hiding method is proposed to store vast quantities of image information based on PCA. A sequence eigenimages of objects are obtained by using PCA method. Then, wavelet coefficients of eigenimages are embedded into the wavelet domain of the carrying image. When the hiding information is extracted, we can take advantage of the decomposition coefficients to reconstruct the objects. The proposed method does not store the object images directly, but store the eigenimages which contain information of the objects. The experimental results show that the features of object are effectively embedded into the carrying image, and the proposed algorithm has a high capacity.
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Wenjuan Shuai, Shaotong Feng, Shouping Nie, Zhuqing Zhu, "The application of principal component analysis in sequence image hiding", Proc. SPIE 7850, Optoelectronic Imaging and Multimedia Technology, 78501L (9 November 2010); doi: 10.1117/12.869813; https://doi.org/10.1117/12.869813
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