Data hiding based on compressed VQ indices of images |
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Authors: | Shih-Chieh Shinfeng D. |
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Affiliation: | aDepartment of Computer Science and Information Engineering, National Formosa University, 64 Wen-Hua Road, Hu-Wei, Yunlin County 632, Taiwan, ROC;bDepartment of Computer Science and Information Engineering, National Dong Hwa University, Hualien County, Taiwan, ROC |
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Abstract: | The VQ-based data hiding technique has not received much attention compared to various spatial domain-based data hiding techniques in digital images. Consequently, a new data hiding scheme, applied in the VQ-compressed domain of cover images, is introduced in this article. To provide more hiding capacity for secret data and to keep an acceptable bit rate for the compressed cover images, the search-order-coding (SOC) algorithm was implemented to compress the VQ indices of the cover images in the process of data hiding. During the process of data hiding, the proposed scheme embeds secret data into the compressed VQ indices of the cover image adaptively, adjusting the bit rate according to the size of the secret data and the compressed cover image. In addition, the hiding process induces no extra coding distortion. Experiments show that the receiver can efficiently receive both the secret data and the compressed cover image simultaneously with an acceptable bit rate. Simulation results also demonstrate that our proposed scheme outperforms earlier proposed methods. |
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Keywords: | Data hiding Image compression Index coding Search-order-coding algorithm Vector quantization |
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