Reversible and high-payload image steganographic scheme based on side-match vector quantization

A reversible and high-payload image steganographic scheme implemented in the SMVQ compression domain of image is proposed. This scheme focuses both on the payload of the compressed cover image at the transmitter and on the visual quality of the restored cover image at the receiver. In addition, keeping an acceptable bit rate for the cover image is another goal of the proposed scheme since the secret data are sheltered by and delivered through the compression codes. Moreover, the proposed scheme is reversible. The original SMVQ-compressed cover image can be losslessly restored from the compression codes at the receiver. Simulation results show that the proposed scheme is feasible for secret communication.

[1]  Robert M. Gray,et al.  An Algorithm for Vector Quantizer Design , 1980, IEEE Trans. Commun..

[2]  Kevin Curran,et al.  Digital image steganography: Survey and analysis of current methods , 2010, Signal Process..

[3]  Chin-Chen Chang,et al.  Reversible steganographic method using SMVQ approach based on declustering , 2007, Inf. Sci..

[4]  Taejeong Kim,et al.  Side match and overlap match vector quantizers for images , 1992, IEEE Trans. Image Process..

[5]  Chin-Chen Chang,et al.  A Reversible Data Hiding Scheme Based on Side Match Vector Quantization , 2006, IEEE Transactions on Circuits and Systems for Video Technology.

[6]  Jiann-Der Lee,et al.  Reversible Data Hiding Based on Histogram Modification of SMVQ Indices , 2010, IEEE Transactions on Information Forensics and Security.

[7]  Yu-Chen Hu,et al.  High-capacity image hiding scheme based on vector quantization , 2006, Pattern Recognit..

[8]  Shih-Chieh Shie,et al.  Secret Image Transmission Scheme Using Secret Codebook , 2010, IEICE Trans. Inf. Syst..

[9]  Shih-Chieh Shie,et al.  Data hiding based on compressed VQ indices of images , 2009, Comput. Stand. Interfaces.

[10]  Chin-Chen Chang,et al.  High capacity SMVQ-based hiding scheme using adaptive index , 2010, Signal Process..

[11]  Chin-Chen Chang,et al.  Reversible Data Embedding Based on Prediction Approach for VQ and SMVQ Compressed Images , 2006, Fundam. Informaticae.

[12]  Chaur-Heh Hsieh,et al.  Lossless compression of VQ index with search-order coding , 1996, IEEE Trans. Image Process..