High capacity image steganography method based on framelet and compressive sensing

Moyan Xiao; Zhibiao He

doi:10.1117/12.2205279

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17 December 2015 High capacity image steganography method based on framelet and compressive sensing

Moyan Xiao, Zhibiao He

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Proceedings Volume 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis; 98110Y (2015) https://doi.org/10.1117/12.2205279
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

To improve the capacity and imperceptibility of image steganography, a novel high capacity and imperceptibility image steganography method based on a combination of framelet and compressive sensing (CS) is put forward. Firstly, SVD (Singular Value Decomposition) transform to measurement values obtained by compressive sensing technique to the secret data. Then the singular values in turn embed into the low frequency coarse subbands of framelet transform to the blocks of the cover image which is divided into non-overlapping blocks. Finally, use inverse framelet transforms and combine to obtain the stego image. The experimental results show that the proposed steganography method has a good performance in hiding capacity, security and imperceptibility.

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Moyan Xiao and Zhibiao He "High capacity image steganography method based on framelet and compressive sensing", Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 98110Y (17 December 2015); https://doi.org/10.1117/12.2205279

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