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In this paper, we propose a vector quantization (VQ) -based information hiding scheme that cluster the VQ codewords according the codewordspsila relation on Voronoi Diagram (VD). The clustering method is fast and easy to implement when projecting the codewords into VD space. The hiding capacities can be adaptive adjusted just modifying the threshold value which didnpsilat need reorganizing the codebook...
This paper presents a novel data hiding scheme for VQ compression images. This scheme first uses SMVQ prediction to classify encoding blocks into different types, then uses different codebooks and encoding strategies to perform encoding and data hiding simultaneously. In using SMVQ prediction, no extra data is required to identify the combination of encoding strategies and codebook, which helps improve...
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