Ruoxin Zhu

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In this paper, a novel reversible data hiding scheme which utilizes SMVQ prediction indices to embed secret data is proposed. As a result, it improves Yang’s work, which takes advantage of counts of indices in data embedding. Our approach enhances the prediction of SMVQ, resulting in a more concentrated distribution of indices. Based on the distribution of(More)
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